CN108307546A

CN108307546A - A kind of the determination method, apparatus and electronic equipment of target resident state

Info

Publication number: CN108307546A
Application number: CN201710762203.8A
Authority: CN
Inventors: 余建国; 林尚静
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2017-08-30
Filing date: 2017-08-30
Publication date: 2018-07-20
Anticipated expiration: 2037-08-30
Also published as: CN108307546B

Abstract

An embodiment of the present invention provides a kind of determination method, apparatus of target resident state and electronic equipment, the method includes：It determines first significance level of the influence factor relative to other influences factor according to default relatively scale table for each influence factor for influencing resident state determination, obtains the first weight vectors；For each influence factor, in the case where the metric of current influence factor is minimum, according to default relatively scale table, determines that the equipment is resident second significance level of each default resident state relative to other resident states, obtain the second weight vectors；According to the product of the first weight vectors and second weight vectors, third weight vectors are determined, the corresponding resident state of weight factor in the third weight vectors is determined as target resident state.Using the embodiment of the present invention, it may be determined that go out target resident state.

Description

A kind of the determination method, apparatus and electronic equipment of target resident state

Technical field

The present invention relates to internet of things field, a kind of determination method, apparatus more particularly to target resident state and Electronic equipment.

Background technology

With the progress of human industry's technical merit, the birth of the Internet of Things based on technique of internet has been expedited the emergence of.Internet of Things It is the network for connecting formation between equipment and equipment based on Internet technology, there is terminal diversification, perception automation, decision Intelligentized feature.Each equipment in Internet of Things is equipped with sensor, can be known by sensor between equipment and equipment Not, and by internet information exchange is carried out, to realize the information communication between equipment and equipment.

May include a large amount of diversified equipment in Internet of Things, if the Internet of Things net means one being arranged in each equipment Directly be in connection status, can increase the power consumption of Internet of Things, connection status be equipment be constantly at any time can with other equipment into The state of row interaction.In order to reduce the power consumption of Internet of things system, develops and be based on long term evolution (Long Term Evolution, LTE) system RRC (Radio Resource Control, wireless heterogeneous networks) technology, will be in Internet of Things Each equipment has divided different resident states, as IDLE state (idle state), DORMANT states (dormant state), (enhanced Discontinuous Reception, enhance non-company for SUSPENDED states (suspended state) and eDRX states Continuous reception state).Resident state refers to the wireless connection conditions that equipment is chronically at.In practical applications, same equipment is not Same business, the resident preference for state may be also different, that is to say, that influence factor such as power consumption, signaling is opened Pin, time delay consumption are different to the significance level of the determination of resident state.For example, for power distribution automation class equipment, if its Carrying is " intelligent meter data recording " class business, this kind of business is of less demanding to signaling overheads, time delay consumption, it is determined that the equipment is resident The influence factor of state is power consumption.For the purpose of low power operation, which can be resided in DORMANT states or Person's eDRX states.But if equipment carrying is " remote control " class business, this kind of service interfacing enter time delay consumption requirement compared with It is high, it is determined that the influence factor of the equipment resident state is access delay consumption.If the equipment is still resided in DORMANT shapes State and eDRX states, equipment can not be communicated in time when can lead to have business demand, and then cause " to be remotely controlled " class business not It can realize well.Therefore, it is in the purpose of low access delay consumption, which can be resided in SUSPENDED states.

Using the prior art, when the business of equipment carrying is more complicated, only from an influence factor in influence factor, Determine the resident state of equipment in Internet of Things, it is not accurate enough.

Invention content

The embodiment of the present invention is designed to provide a kind of the determination method, apparatus and electronic equipment of target resident state, To realize the purpose for accurately determining the resident state of equipment in Internet of Things.Specific technical solution is as follows：

In order to achieve the above objectives, an embodiment of the present invention provides a kind of determination method of target resident state, the methods Including：

For influence resident state determine each influence factor, according to it is default relatively scale table, determine each influence because First significance level of the element relative to the other influences factor in addition to the current influence factor, obtains the first weight vectors, In, each influence factor includes：At least two in power consumption, signaling overheads, time delay consumption；

For each influence factor, in the case where the metric of the current influence factor is minimum, according to described pre- If comparing scale table, determine that the equipment is resident each default resident state relative to other in addition to the current influence factor Second significance level of resident state obtains the second weight vectors；

Using the product of first weight vectors and second weight vectors as third weight vectors, the third is weighed The corresponding resident state of weight factor in weight vector is as target resident state.

Optionally, the corresponding resident state of weight factor using in the third weight vectors is resident shape as target State, including：

The corresponding resident state of maximum weight factor in the third weight vectors is determined as target resident state.

Optionally, described to be determined according to default relatively scale table for each influence factor for influencing resident state determination First significance level of each influence factor relative to the other influences factor in addition to the current influence factor, obtains the first power Weight vector, including：

For influence resident state determine each influence factor, according to it is default relatively scale table, obtain the influence because First significance level of the element relative to the other influences factor in addition to the current influence factor, and according to the described first important journey Degree construction the first comparison matrix；

Order of matrix number and the first comparison order of matrix number and the first random consistency are compared according to described first The correspondence of the factor determines the first random consistent sex factor corresponding with the first comparison order of matrix number；

The maximum eigenvalue of matrix, the first comparison order of matrix number are compared according to described first, utilizes formulaCalculate the consistent sex factor of the first comparison matrix, wherein

CI_AFor the consistent sex factor of the first comparison matrix；λ_AFor the maximum eigenvalue of the first comparison matrix；N is the first comparison Order of matrix number；

The consistent sex factor and the described first random consistent sex factor for comparing matrix according to described first, utilize formulaCalculate the test coefficient of the first comparison matrix, wherein

β_AFor the test coefficient of the first comparison matrix；CI_AFor the consistent sex factor of the first comparison matrix；RI_AIt is random for first Consistent sex factor；

In the case where the test coefficient of the first comparison matrix is not less than the first predetermined threshold value, the shadow is redefined First significance level of the factor of sound relative to other influences factor, according to first significance level construction second redefined Matrix is compared, the content for described first being compared matrix replaces with the content of the second comparison matrix, and returns described in execution The maximum eigenvalue of matrix, the first comparison order of matrix number are compared according to described first, calculates the first comparison matrix Consistent sex factor the step of；

In the case where the test coefficient of the first comparison matrix is less than the first predetermined threshold value, compared according to described first The feature vector of matrix and it is described first comparison matrix maximum eigenvalue, obtain it is described first comparison matrix the first weight to Amount.

Optionally, described to be directed to each influence factor, in the case where the metric of the current influence factor is minimum, According to default relatively scale table, determine that the equipment is resident each default resident state relative in addition to the current influence factor Other resident states the second significance level, obtain the second weight vectors, including：

For each influence factor, in the case where the metric of current influence factor is minimum, according to default comparison Scale table determines that the equipment is resident each resident state relative to other resident states in addition to the current resident state Second significance level, and third is constructed according to second significance level and compares matrix；

Order of matrix number and third comparison order of matrix number and the second random consistency are compared according to the third The correspondence of the factor determines the second random consistent sex factor corresponding with third comparison order of matrix number；

Maximum eigenvalue, the third comparison order of matrix number that matrix is compared according to the third, utilize formulaCalculate the consistent sex factor of the third comparison matrix, wherein

CI_BThe consistent sex factor of matrix is compared for third；λ_BThe maximum eigenvalue of matrix is compared for third；M compares for third Order of matrix number；

The consistent sex factor and the described second random consistent sex factor that matrix is compared according to the third, utilize formulaCalculate the test coefficient of the third comparison matrix, wherein

β_BThe test coefficient of matrix is compared for third；CI_BThe consistent sex factor of matrix is compared for third；RI_BIt is random for second Consistent sex factor；

In the case where the third compares the test coefficient of matrix not less than the second predetermined threshold value, the shadow is redefined Second significance level of the factor of sound relative to other influences factor, according to second significance level construction the 4th redefined Matrix is compared, the content that the third is compared to matrix replaces with the content of the 4th comparison matrix, and returns described in execution Maximum eigenvalue, the third comparison order of matrix number that matrix is compared according to the third, calculate the third comparison matrix Consistent sex factor the step of；

In the case where the third compares the test coefficient of matrix less than the second predetermined threshold value, compared according to the third The maximum eigenvalue of the feature vector of matrix and third comparison matrix obtain the second weight of third comparison matrix to Amount.

In order to achieve the above objectives, an embodiment of the present invention provides a kind of determining device of target resident state, described devices Including：First acquisition module, the second acquisition module and setup module, wherein

First acquisition module, each influence factor for being determined for influence resident state, according to default comparison Scale table determines first important journey of each influence factor relative to the other influences factor in addition to the current influence factor Degree obtains the first weight vectors, wherein each influence factor includes：In power consumption, signaling overheads, time delay consumption At least two；

Second acquisition module, for being directed to each influence factor, the current influence factor metric most In the case of low, according to the default relatively scale table, determine that the equipment is resident each default resident state relative to except working as Second significance level of other resident states other than the preceding influence factor obtains the second weight vectors；

The setup module, for using the product of first weight vectors and second weight vectors as third weight Vector, using the corresponding resident state of weight factor in the third weight vectors as target resident state.

Optionally, the setup module, is additionally operable to：

Optionally, first acquisition module, is additionally operable to：

Optionally, second acquisition module, is additionally operable to：

In order to achieve the above objectives, the embodiment of the present invention additionally provides a kind of electronic equipment, including processor, communication interface, Memory and communication bus, wherein processor, communication interface, memory complete mutual communication by bus,

Memory, for storing computer program；

Processor, when for executing the program stored on memory, the step of realizing any of the above-described method.

In order to achieve the above objectives, the embodiment of the present invention additionally provides a kind of computer readable storage medium, the computer Computer program is stored in readable storage medium storing program for executing, the computer program realizes that any of the above-described method is real when being executed by processor The step of applying.

An embodiment of the present invention provides a kind of determination method, apparatus of target resident state and electronic equipment, the methods Including：The influence factor phase is determined according to default relatively scale table for each influence factor for influencing resident state determination For the first significance level of other influences factor, the first weight vectors are obtained, wherein each influence factor is at least wrapped It includes：Power consumption, signaling overheads, time delay consumption；It is minimum in the metric of current influence factor for each influence factor In the case of, according to default relatively scale table, determine that the equipment is resident each default resident state and is resident shape relative to other Second significance level of state obtains the second weight vectors；According to the first weight vectors and second weight vectors, third is determined The corresponding resident state of maximum weight factor in the third weight vectors is determined as target resident state by weight vectors.

Using the embodiment of the present invention, being selected for resident state for each influence factor is determined by the first weight vectors Significance level determines significance level of each default resident state relative to each influence factor, most by the second weight vectors The weight factor of each default resident state is determined afterwards, and then the corresponding default resident state of weight factor can be used as Target resident state.Certainly, it implements any of the products of the present invention or method must be not necessarily required to reach above-described institute simultaneously There is advantage.

Description of the drawings

In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with Obtain other attached drawings according to these attached drawings.

Fig. 1 is the schematic diagram of the application scenarios of the embodiment of the present invention；

Fig. 2 is a kind of principle schematic of the determination method of target resident state provided in an embodiment of the present invention.

Fig. 3 is a kind of flow diagram of the determination method of target resident state provided in an embodiment of the present invention；

Fig. 4 is a kind of structural schematic diagram of the determining device of target resident state provided in an embodiment of the present invention；

Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.

Specific implementation mode

Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.

To solve prior art problem, an embodiment of the present invention provides a kind of determination method, apparatus of target resident state And electronic equipment, just a kind of determination method of target resident state provided in an embodiment of the present invention is introduced first below.

Fig. 1 is the schematic diagram of the application scenarios of the embodiment of the present invention, as shown in Figure 1, base station 11 is used to provide communication service, First terminal equipment 12, second terminal equipment 13 are communicated to connect with base station 11 respectively, and first terminal equipment 12 undertakes intelligence and copies Table business, second terminal equipment 13 undertake telecontrol service.Since intelligent meter data recording class business is not high to the requirement of real-time of communication, That is less focusing on time delay consumption, main requirement is that power consumption wants low.Therefore, first terminal equipment 12 may reside within IDLE state (idle state) or SUSPENDED states (suspended state).It is very high to requirement of real-time to be remotely controlled class business, also It is to say to focus on very much time delay consumption, second terminal equipment may reside within DORMANT states (dormant state) or eDRX states (enhancing discontinuous receiving state).

By taking the 12 selection target resident state of terminal device of application of the embodiment of the present invention as an example, mesh is selected to terminal device 12 The process of mark resident state is introduced.Fig. 2 is a kind of determination method of target resident state provided in an embodiment of the present invention Principle schematic, as shown in Fig. 2, can be by the decision objective of terminal device 12, that is, " selection target resident state " conduct Destination layer；It will influence three influence factor power consumptions, signaling overheads and time delay consumption that resident state determines and be used as criterion Layer；Using above-mentioned four kinds of resident states as solution layer.Disappeared from power consumption, signaling overheads and time delay by the first weight vectors Three aspects of consumption weigh significance level of the different affecting factors to terminal device 12；Disappeared again from power by the second weight vectors Consumption, signaling overheads and time delay consume three aspects weigh terminal devices 12 to each resident state preference；Last root The target resident state of terminal device 12 is determined according to the first weight vectors and the second weight vectors.

Specifically, obtaining the process of the first weight vectors can be：Terminal device 12 is according to the resident each shadow of selection of influence Significance level of the factor of sound relative to other influences factor first constructs power and disappears further according to the value of above-mentioned each significance level Consumption, signaling overheads and the corresponding first comparison matrix of time delay consumption, then consistency check is carried out to the first comparison matrix.Due to Time delay consumption includes paging time delay and access delay, therefore is also needed in construction paging time delay and access delay corresponding first Between matrix, then to the first intermediary matrix carry out consistency check；Finally according to the first of consistency check comparison matrix with it is consistent Property examine the first intermediary matrix calculate the first weight vectors.

Specifically, obtaining the process of the second weight vectors can be：First stayed as target, with each using minimizing power consumption State is stayed to construct the second intermediary matrix relative to the value of the second significance level of other resident states for element, then to second Intermediary matrix carries out consistency check；Go out square among third according still further to the above method to minimize the target formation of signaling overheads Battle array goes out the 4th intermediary matrix as target formation using minimum paging time delay and is gone out in the 5th as target formation using minimizing access delay Between matrix；Consistency desired result finally is carried out to the second intermediary matrix, third intermediary matrix, the 4th intermediary matrix, further according to above-mentioned Matrix generates the second weight vectors.Terminal device 12 is according to the product of the first weight vectors and the second weight vectors of acquisition, meter Calculation obtains third weight vectors, and mesh corresponding with the weight factor is selected according to the size of the weight factor in third weight vectors Mark resident state, wherein second, which compares matrix, includes：Second intermediary matrix, third intermediary matrix, the 4th intermediary matrix and the 5th Intermediary matrix.

Fig. 3 is a kind of flow diagram of the determination method of target resident state provided in an embodiment of the present invention, such as Fig. 3 institutes Show, this method includes：：

S301：Each shadow is determined according to default relatively scale table for each influence factor for influencing resident state determination First significance level of the factor of sound relative to the other influences factor in addition to the current influence factor, obtain the first weight to Amount, wherein each influence factor includes：At least two in power consumption, signaling overheads, time delay consumption.

Specifically, can be directed to influences each influence factor that resident state determines, according to default relatively scale table, obtain First significance level of the influence factor relative to the other influences factor in addition to the current influence factor, and according to described First significance level construction the first comparison matrix；Order of matrix number and the first comparison matrix are compared according to described first Exponent number and the first random consistent sex factor correspondence, determine and the first comparison order of matrix number corresponding first Random consistent sex factor；The maximum eigenvalue of matrix, the first comparison order of matrix number are compared according to described first, utilizes public affairs FormulaCalculate the consistent sex factor of the first comparison matrix, wherein CI_AFor the consistent of the first comparison matrix Sex factor；λ_AFor the maximum eigenvalue of the first comparison matrix；N is the first comparison order of matrix number；Square is compared according to described first The consistent sex factor and the described first random consistent sex factor of battle array, utilize formulaCalculate the first comparison square The test coefficient of battle array, wherein β_AFor the test coefficient of the first comparison matrix；CI_AFor the consistent sex factor of the first comparison matrix；RI_A For the first random consistent sex factor；In the case where the test coefficient of the first comparison matrix is not less than the first predetermined threshold value, First significance level of the influence factor relative to other influences factor is redefined, according to first weight redefined Degree construction the second comparison matrix is wanted, the content for described first being compared matrix replaces with the content of the second comparison matrix, And return and execute maximum eigenvalue, the first comparison order of matrix number according to the first comparison matrix, calculate institute The step of stating the consistent sex factor of the first comparison matrix；It is less than the first predetermined threshold value in the test coefficient of the first comparison matrix In the case of, the maximum eigenvalue of the feature vector and the first comparison matrix that compare matrix according to described first obtains institute State the first weight vectors of the first comparison matrix.

Illustratively, the acquisition process of the first weight vectors can be first to construct power consumption, signaling overheads with timely Prolong the corresponding first comparison matrix of consumption, then consistency check is carried out to the first comparison matrix.Since time delay consumption includes paging Time delay and access delay, therefore construction paging time delay and corresponding first intermediary matrix of access delay are also needed to, then to first Intermediary matrix carries out consistency check；Finally according to the first of consistency check comparison matrix and consistency check first among Matrix calculates the first weight vectors.

Illustratively, the construction process of the first comparison matrix is as follows：

Table 1 is default relatively scale table, according to table 1, determines the of each influence factor relative to other influences factor A kind of significance level, for example, power consumption is relatively strong important relative to the first significance level of signaling overheads, then power consumption phase Value for the first significance level of signaling overheads is 5, similar, it may be determined that goes out power consumption is consumed relative to time delay the The value of one significance level；It is similar, it may be determined that go out signaling overheads relative to power consumption, the first significance level of expense Value determines time delay consumption relative to power consumption, the value of the first significance level of signaling overheads.

Table 1

Compare factor	Quantized value
		It is of equal importance	1
It is slightly important	3
		It is relatively strong important	5
It is strong important	7
		It is extremely important	9
The median of two adjacent judgements	2,4,6,8

The first comparison matrix is constructed according to the value for each first significance level determined, the method for construction can be： By value of the power consumption relative to the first significance level of signaling overheads, the value of the first significance level relative to itself, and The first row element that the value of the first significance level relative to time delay consumption compares matrix as first successively；By signaling overheads phase Value for the first significance level of power consumption, the value of the first significance level relative to itself and relative to time delay consume The first significance level value successively as first comparison matrix the second row element；Time delay is consumed relative to power consumption The value of first significance level, relative to signaling overheads the first significance level value and relative to the first significance level of itself Value successively as first comparison matrix the second row element, construction first comparison matrix A₁For：

Wherein,Value for power consumption relative to the first significance level of signaling overheads；For power consumption relative to The value of first significance level of time delay consumption；For the value for the first significance level that signaling overheads is consumed relative to time delay.

In the first comparison matrix, the element of the first row can be that signaling overheads is consumed relative to power consumption, time delay The value of first significance level；Can also be that time delay is consumed relative to signaling overheads, the value of the first significance level of power consumption, this Inventive embodiments do not define above-mentioned put in order herein.In practical applications, it is only necessary to ensure to compare square first Putting in order for each row element and putting in order unanimously for each column element in battle array.

Illustratively, the process of the consistency check of the first comparison matrix is as follows：

First calculate the first comparison matrix A₁Maximum eigenvalue, if calculate first comparison matrix maximum eigenvalue For

Formula is recycled,Calculate the first comparison matrix A₁Consistent sex factor, wherein

For the consistent sex factor of the first comparison matrix；For the maximum eigenvalue of the first comparison matrix；N is first pair Than order of matrix number.

Table 2 is the mapping table of the random consistent sex factor of matrix and matrix, then determines the first comparison according to table 2 The random consistent sex factor of matrix.

Table 2

First comparison order of matrix number is 3, then the random consistent sex factor of the first comparison matrixIt is 0.58.

Finally utilize formulaCalculate the test coefficient of the first comparison matrix, wherein

For the test coefficient of the first comparison matrix；For the consistent sex factor of the first comparison matrix；It is first pair Than the random consistent sex factor of matrix.

If the test coefficient of calculated first comparison matrix is 0.6, it is more than preset value 0.1, then the first comparison matrix The requirement for not meeting consistency needs to reconfigure the first comparison matrix.The mode of construction be determine again each influence because The first significance level of element relative to other influences factor, then construction second compares matrix in the manner described above, then will Each element in first comparison matrix replaces with the element of corresponding position in the second comparison matrix, then to the first new comparison square Battle array carries out consistency check, until the test coefficient of the first comparison matrix is less than or equal to 0.1.

In practical applications, predetermined threshold value is set by user, includes but are not limited to 0.1.

Illustratively, the construction process of the first intermediary matrix is as follows：

According to table 1, determines value of the paging time delay relative to the first significance level of access delay, can will page time delay The value of the first significance level relative to the value of the first significance level of itself, and relative to access delay is as among first First row element of matrix；By access delay relative to paging time delay the first significance level value, and relative to itself Second row element of the value of first significance level as the first intermediary matrix, the first intermediary matrix A of construction₂For：

Wherein,For time delay minimum when, value of the paging time delay relative to the first significance level of access delay.

Illustratively, the process of the consistency check of the first intermediary matrix is as follows：

First calculate the first intermediary matrix A₂Maximum eigenvalue, if calculate the first intermediary matrix maximum eigenvalue For

Formula is recycled,Calculate the first intermediary matrix A₂Consistent sex factor, wherein

For the consistent sex factor of the first intermediary matrix；For the maximum eigenvalue of the first intermediary matrix；During n is first Between order of matrix number.

Then the random consistent sex factor of the first comparison matrix is determined according to table 2.The exponent number of first intermediary matrix is 2, The then random consistent sex factor of the first comparison matrixIt is 0.But in practical applications, the minimum value of random consistent sex factor Usually 0.58, therefore the random consistent sex factor of the first intermediary matrix is 0.58.

Finally utilize formulaCalculate the test coefficient of the first intermediary matrix, wherein

For the test coefficient of the first intermediary matrix；For the consistent sex factor of the first intermediary matrix；In first Between matrix random consistent sex factor.

If the test coefficient of calculated first intermediary matrix is 0.05, it is less than preset value 0.1, then the first intermediary matrix Meet the requirement of consistency, the first intermediary matrix need not be reconfigured.If the inspection system of calculated first intermediary matrix Number be greater than or equal to 0.1, then need by first comparison matrix carry out consistency check in the way of to the first intermediary matrix into Row consistency check.

Illustratively, according to the first comparison matrix after consistency check and the first intermediary matrix meter after consistency check Calculate the first weight vectors.

The first comparison matrix after consistency desired result and the first intermediary matrix after consistency desired result are normalized respectively Processing, for example,

The feature vector for first finding out the first comparison matrix after consistency desired result, by feature vector each component divided by The maximum eigenvalue of the first comparison matrix after consistency desired result, you can obtain returning for the after consistency desired result first comparison matrix One changes vector, if the normalized vector of the first comparison matrix after consistency desired result is

What is obtained according to the method described above, which compares the normalized vector of matrix by first after consistency desired result, is

Further according to the first comparison after the normalized vector and consistency desired result of the first comparison matrix after consistency desired result The normalized vector of matrix, obtains the first weight vectors, and the process is specific as follows：

Due to vector'sCorresponding time delay consumption, therefore willWith vectorIn each element be multiplied respectively, It is as follows to obtain the first weight vectors：

It is emphasized that the equipment described in the embodiment of the present invention is Nb-Iot equipment (Narrow Band Internet Of Things, narrowband internet of things equipment), and above-mentioned each resident state is 3GPP (3^rd Generation Partnership Project, third generation cooperative partner program) tissue freeze R13 report specified in each resident state.So-called resident state For a kind of administrative mechanism being managed to equipment, it is therefore an objective to reduce operating cost or power consumption.

S302：For each influence factor, in the case where the metric of the current influence factor is minimum, according to institute Default relatively scale table is stated, determines that the equipment is resident each default resident state relative in addition to the current influence factor Second significance level of other resident states obtains the second weight vectors.

Specifically, each influence factor, in the case where the metric of current influence factor is minimum, root can be directed to According to default relatively scale table, determine that the equipment is resident each resident state relative to other in addition to the current resident state Second significance level of resident state, and third is constructed according to second significance level and compares matrix；According to the third pair Than the correspondence of order of matrix number and third comparison order of matrix number and the second random consistent sex factor, determine The second random consistent sex factor corresponding with third comparison order of matrix number；The maximum that matrix is compared according to the third is special Value indicative, the third compare order of matrix number, utilize formulaCalculate the consistent of the third comparison matrix Sex factor, wherein CI_BThe consistent sex factor of matrix is compared for third；λ_BThe maximum eigenvalue of matrix is compared for third；M is third Compare order of matrix number；The consistent sex factor and the described second random consistent sex factor of matrix are compared according to the third, are utilized FormulaCalculate the test coefficient of the third comparison matrix, wherein β_BThe test coefficient of matrix is compared for third； CI_BThe consistent sex factor of matrix is compared for third；RI_BFor the second random consistent sex factor；The inspection of matrix is compared in the third In the case that coefficient is not less than the second predetermined threshold value, second weight of the influence factor relative to other influences factor is redefined Degree is wanted, according to the 4th comparison matrix of second significance level construction redefined, the third is compared in matrix Hold the content for replacing with the 4th comparison matrix, and returns and execute the maximum feature for comparing matrix according to the third Value, the third compare order of matrix number, calculate the step of third compares the consistent sex factor of matrix；In the third pair Than matrix test coefficient be less than the second predetermined threshold value in the case of, the feature vector of matrix and described is compared according to the third The maximum eigenvalue of third comparison matrix obtains the second weight vectors of the third comparison matrix.

The acquisition process of second weight vectors can be, first using minimize power consumption as target, with each resident state The value of the second significance level relative to other resident states is that element constructs the second intermediary matrix, then to the second intermediate square Battle array carries out consistency check；According still further to the above method to minimize the target of signaling overheads, with each resident state relative to it The value of second significance level of his resident state be element construct third intermediary matrix, using minimum paging time delay as target, with Each resident state relative to the second significance level of other resident states value be element construct the 4th intermediary matrix and with Minimize access delay be target, using each resident state relative to the second significance level of other resident states value as element Construct the 5th intermediary matrix；Finally according to the second intermediary matrix after consistency check, the third after consistency check among The 5th intermediary matrix after the 4th intermediary matrix and consistency check after matrix, consistency check calculates the second weight vectors, Wherein, resident state includes IDLE state, DORMANT states, SUSPENDED states and eDRX states, and second compares square Battle array include：Second intermediary matrix, third intermediary matrix, the 4th intermediary matrix and the 5th intermediary matrix.

Illustratively, using minimize power consumption as target, with each resident state relative to other resident states The value of two significance levels is that element constructs the second intermediary matrix, and the process of consistency check is then carried out to the second intermediary matrix Can be：

Determine each resident state relative to other resident states to minimize power consumption as target according to table 1 The value of second significance level, for example, to minimize power consumption as target, equipment is resident IDLE state relative to resident Second significance level of DORMANT states is between slightly important and relatively strong important, then the value of second significance level is 4.It is similar , it may be determined that go out equipment and is resident second weight of the IDLE state relative to resident SUSPENDED states and resident eDRX states Want the value of degree；Similar, it may be determined that go out equipment and is resident DORMANT states relative to resident SUSPENDED states and phase Value for the second significance level for being resident eDRX states；Determine the resident SUSPENDED states of equipment relative to resident The value of second significance level of eDRX states.

The second intermediary matrix is constructed according to the value for each second significance level determined, the method for construction can be： Equipment is resident value of the IDLE state relative to the second significance level of itself, second relative to resident DORMANT states important The value of degree, relative to resident SUSPENDED states the second significance level value and relative to the of resident eDRX states The value of two significance levels is successively as the first row element of the second intermediary matrix；By equipment be resident DORMANT states relative in Stay the value of the second significance level of IDLE state, the value relative to the second significance level of itself, relative to resident state The value of the value of two significance levels and the second significance level relative to resident eDRX states is successively as the second intermediary matrix Second row element；By equipment be resident SUSPENDED states relative to the second significance level of resident IDLE state value, relative to It is resident the value of the second significance level of DORMANT states, relative to the value of the second significance level of itself and relative to resident The value of second significance level of eDRX states is successively as the third row element of the second intermediary matrix；Equipment is resident eDRX states The value of the second significance level relative to resident IDLE state, relative to resident DORMANT states the second significance level value, The value of the second significance level relative to resident SUSPENDED states and value relative to the second significance level of itself are successively Fourth line element as the second intermediary matrix.Second intermediary matrix B of construction₁For：

Wherein,For to minimize power consumption as target, equipment resides in IDLE state relative to residing in DORMANT The value of second significance level of state；For to minimize power consumption as target, equipment resides in IDLE state and resides in The value of second significance level of SUSPENDED states；For to minimize power consumption as target, equipment resides in IDLE state Value relative to the second significance level for residing in eDRX states；For to minimize power consumption as target, equipment resides in Value of the DORMANT states relative to the second significance level for residing in SUSPENDED states；To be to minimize power consumption Target, equipment reside in value of the DORMANT states relative to the second significance level for residing in eDRX states；For to minimize Power consumption is target, and equipment resides in value of the SUSPENDED states relative to the second significance level for residing in DRX states.

Illustratively, the process of the consistency check of the second intermediary matrix is as follows：

First calculate the second intermediary matrix B₁Maximum eigenvalue, if calculate the second intermediary matrix maximum eigenvalue For

Formula is recycled,Calculate the second intermediary matrix B₁Consistent sex factor, wherein

For the consistent sex factor of the second intermediary matrix；For the maximum eigenvalue of the second intermediary matrix；During n is second Between order of matrix number.

Then the random consistent sex factor of the first comparison matrix is determined according to table 2.

The exponent number of second intermediary matrix is 4, then the random consistent sex factor of the first comparison matrixIt is 0.9.

For the test coefficient of the second intermediary matrix；For the consistent sex factor of the second intermediary matrix；In second Between matrix random consistent sex factor.

If the test coefficient of calculated second intermediary matrix is 0.6, it is more than preset value 0.1, then the second intermediary matrix The requirement for not meeting consistency needs to reconfigure the second intermediary matrix.The mode of construction be determine again each influence because First significance level of the element relative to other influences factor, then constructs the second new intermediary matrix, then in the manner described above Each element in second intermediary matrix is replaced with to the element of corresponding position in the second new intermediary matrix, then to replacing element The second intermediary matrix afterwards carries out consistency check, until the test coefficient of the second intermediary matrix is less than or equal to 0.1.

It is similar, according to the construction process construction third intermediary matrix of the second intermediary matrix, the 4th intermediary matrix and the Five intermediary matrixs；And to third intermediary matrix, the 4th intermediary matrix in the way of the consistency check to the second intermediary matrix And the 5th intermediary matrix carry out consistency check.

Illustratively, going out third intermediary matrix to minimize the target formation of signaling overheads can be：

Wherein,For to minimize signaling overheads as target, equipment resides in IDLE state relative to residing in DORMANT The value of the second significance level of state；For to minimize signaling overheads as target, equipment resides in IDLE state relative to resident In the value of the second significance level of SUSPENDED states；For to minimize signaling overheads as target, equipment resides in IDLE shapes Value of the state relative to the second significance level for residing in eDRX states；For to minimize signaling overheads as target, equipment is resident In value of the DORMANT states relative to the second significance level for residing in SUSPENDED states；For to minimize signaling overheads For target, equipment resides in value of the DORMANT states relative to the second significance level for residing in eDRX states；For with minimum Change signaling overheads is target, and equipment resides in SUSPENDED states relative to the value for residing in the second significance level of eDRX states.

According to the method for carrying out consistency check to the second intermediary matrix, to the third intermediary matrix B of construction₂It carries out consistent Property examine.

Illustratively, going out the 4th intermediary matrix as target formation using minimum paging time delay can be：

Wherein,For to minimize paging time delay expense as target, equipment resides in IDLE state relative to residing in The value of the second significance level of DORMANT states；For to minimize paging time delay consumption as target, equipment resides in IDLE state Relative to the value for residing in the second significance level of SUSPENDED states；To be consumed as target with minimizing paging time delay, equipment IDLE state is resided in relative to the value for residing in the second significance level of eDRX states；To be to minimize paging time delay consumption Target, equipment reside in DORMANT states relative to the value for residing in the second significance level of SUSPENDED states；For with most It is target that smallization, which pages time delay consumption, and equipment resides in DORMANT states relative to residing in the second significance level of eDRX states Value；For to minimize paging time delay consumption as target, equipment resides in SUSPENDED states relative to residing in eDRX shapes The value of the second significance level of state.

According to the method for carrying out consistency check to the second intermediary matrix, to the third intermediary matrix B of construction₃It carries out consistent Property examine.

Illustratively, going out the 5th intermediary matrix as target formation to minimize access delay can be：

Wherein,For to minimize access delay as target, equipment resides in IDLE state relative to residing in DORMANT The value of the second significance level of state；For to minimize access delay as target, equipment resides in IDLE state relative to resident In the value of the second significance level of SUSPENDED states；For to minimize access delay as target, equipment resides in IDLE state Relative to the value for residing in the second significance level of eDRX states；For to minimize access delay as target, equipment resides in DORMANT states are relative to the value for residing in the second significance level of SUSPENDED states；For to minimize access delay as mesh Mark, equipment reside in DORMANT states relative to the value for residing in the second significance level of eDRX states；For to minimize access Time delay is target, and equipment resides in SUSPENDED states relative to the value for residing in the second significance level of eDRX states.

According to the method for carrying out consistency check to the second intermediary matrix, to the third intermediary matrix B of construction₄It carries out consistent Property examine.

Illustratively, according to by the second intermediary matrix after consistency check, by the third after consistency check Between matrix, by the 4th intermediary matrix after consistency check and pass through the 5th intermediary matrix after consistency check.

Respectively to by the second intermediary matrix after consistency check, by third intermediary matrix after consistency check, It is normalized by the 4th intermediary matrix after consistency check and by the 5th intermediary matrix after consistency check, For example,

The feature vector for first finding out the second intermediary matrix after consistency desired result, by feature vector each component divided by The maximum eigenvalue of the second intermediary matrix after consistency desired result, you can obtain returning for the second intermediary matrix after consistency desired result One changes vector, if the normalized vector of the second intermediary matrix after consistency desired result is

The normalized vector of third intermediary matrix after the consistency desired result obtained according to the method described above is

The normalized vector of the 4th intermediary matrix after the consistency desired result obtained according to the method described above is

The normalized vector of the 5th intermediary matrix after the consistency desired result obtained according to the method described above is

Further according to above-mentioned normalized vector, the second weight vectors are obtained

S303：It, will be described using the product of first weight vectors and second weight vectors as third weight vectors The corresponding resident state of weight factor in third weight vectors is as target resident state.

Illustratively, formula w=w can be utilized_B·w_A, calculate third weight vectors：

W=w_B·w_A=(w_idle w_susp w_dorm w_edrx)

Wherein, w_idleTend to reside in the weight factor of IDLE state for equipment；w_suspTend to reside in for equipment The weight factor of SUSPENDED states；w_dormTend to reside in the weight factor of DORMANT states for equipment；w_edrxFor equipment Tend to reside in the weight factor of eDRX states.

Using Fig. 3 embodiments of the present invention, being selected for resident state for each influence factor is determined by the first weight vectors The significance level selected determines important journey of each default resident state relative to each influence factor by the second weight vectors Degree, finally determines the weight factor of each default resident state, and then can be by the corresponding default resident state of weight factor As target resident state.

Specifically, can the corresponding resident state of maximum weight factor in the third weight vectors be determined as target Resident state.

If w in weight vectors w_idleThe factor is maximum, then sets IDLE state to target resident state；If weight to Measure w in w_suspThe factor is maximum, then sets SUSPENDED states to target resident state；If w in weight vectors w_dormThe factor Maximum then sets DORMANT to target resident state；If w in weight vectors w_edrxThe factor is maximum, then sets eDRX states It is set to target resident state.

It is understood that in practical applications, the state that different equipment or the equipment for undertaking different task have Resident preference can be variant.Equipment illustrates that the state duration of the equipment is inclined using a certain resident state as target resident state It is the target resident state well, that is to say, that the equipment is partial to reside in the target resident state.

Using the above embodiment of the present invention, by the corresponding resident state of maximum weight factor in the third weight vectors It can be that equipment selects best target resident state to be determined as target resident state.

Corresponding with embodiment illustrated in fig. 3 of the present invention, the embodiment of the present invention additionally provides a kind of target resident state really Determine device.

Fig. 4 is a kind of structural schematic diagram of the determining device of target resident state provided in an embodiment of the present invention, such as Fig. 4 institutes Show, which includes：First acquisition module 401, the second acquisition module 402 and setup module 403, wherein

First acquisition module 401, each influence factor for being determined for influence resident state, according to default ratio Compared with scale table, first important journey of each influence factor relative to the other influences factor in addition to the current influence factor is determined Degree obtains the first weight vectors, wherein each influence factor includes：In power consumption, signaling overheads, time delay consumption At least two.

Second acquisition module 402, for being directed to each influence factor, in the metric of the current influence factor In the case of minimum, according to it is described it is default relatively scale table, determine the equipment be resident each default resident state relative to except Second significance level of other resident states other than the current influence factor, obtains the second weight vectors.

The setup module 403, for using the product of first weight vectors and second weight vectors as third Weight vectors, using the corresponding resident state of weight factor in the third weight vectors as target resident state.

Optionally, in a kind of specific implementation mode of the embodiment of the present invention, the setup module 403 is additionally operable to：

Optionally, in a kind of specific implementation mode of the embodiment of the present invention, first acquisition module 401 is additionally operable to：

Optionally, in a kind of specific implementation mode of the embodiment of the present invention, second acquisition module 202 is additionally operable to：

Using embodiment illustrated in fig. 4 of the present invention, by the first weight vectors determine each influence factor for being resident shape The significance level of state selection, determines each default resident state relative to the important of each influence factor by the second weight vectors Degree finally determines the weight factor of each default resident state, and then can be by the corresponding default resident shape of weight factor The target resident state that state is used as.

Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 5, the electronic equipment Including processor 501, communication interface 502, memory 503 and communication bus 505, wherein processor 501, communication interface 502, Memory 503 completes mutual communication by bus,

Memory 503, for storing computer program；

Processor 501 when for executing the program stored on memory, realizes following steps：

For influence resident state determine each influence factor, according to it is default relatively scale table, determine each influence because First significance level of the element relative to the other influences factor in addition to the current influence factor, obtains the first weight vectors, In, each influence factor includes：At least two in power consumption, signaling overheads and time delay consumption；

Using embodiment illustrated in fig. 5 of the present invention, by the first weight vectors determine each influence factor for being resident shape The significance level of state selection, determines each default resident state relative to the important of each influence factor by the second weight vectors Degree finally determines the weight factor of each default resident state, and then can be by the corresponding default resident shape of weight factor The target resident state that state is used as.

The embodiment of the present invention additionally provides a kind of computer readable storage medium, the computer readable storage medium memory The step of containing computer program, any of the above-described embodiment of the method realized when the computer program is executed by processor.

It should be noted that herein, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that There is also other identical elements in process, method, article or equipment including the element.

Each embodiment in this specification is all made of relevant mode and describes, identical similar portion between each embodiment Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for device, For electronic equipment, computer-readable medium, computer program embodiments, since it is substantially similar to the method embodiment, so What is described is fairly simple, and the relevent part can refer to the partial explaination of embodiments of method.

The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention It is interior.

Claims

1. a kind of determination method of target resident state, which is characterized in that the method includes：

Each influence factor phase is determined according to default relatively scale table for each influence factor for influencing resident state determination For the first significance level of the other influences factor in addition to the current influence factor, the first weight vectors are obtained, wherein institute Stating each influence factor includes：At least two in power consumption, signaling overheads and time delay consumption；

For each influence factor, in the case where the metric of the current influence factor is minimum, according to the default ratio Compared with scale table, determine the equipment be resident each default resident state relative in addition to the current influence factor other are resident Second significance level of state obtains the second weight vectors；

Using the product of first weight vectors and second weight vectors as third weight vectors, by the third weight to The corresponding resident state of weight factor in amount is as target resident state.

2. according to the method described in claim 1, it is characterized in that, the weight factor pair by the third weight vectors The resident state answered as target resident state, including：

3. according to the method described in claim 1, it is characterized in that, it is described for influence resident state determine each influence because Element, according to default relatively scale table, determine each influence factor relative to the other influences in addition to the current influence factor because First significance level of element obtains the first weight vectors, including：

The influence factor phase is obtained according to default relatively scale table for each influence factor for influencing resident state determination For the first significance level of the other influences factor in addition to the current influence factor, and according to the first significance level structure Make the first comparison matrix；

Order of matrix number and the first comparison order of matrix number and the first random consistent sex factor are compared according to described first Correspondence, determine and the corresponding first random consistent sex factor of the first comparison order of matrix number；

CI_AFor the consistent sex factor of the first comparison matrix；λ_AFor the maximum eigenvalue of the first comparison matrix；N is the first comparison matrix Exponent number；

β_AFor the test coefficient of the first comparison matrix；CI_AFor the consistent sex factor of the first comparison matrix；RI_AIt is random consistent for first Sex factor；

It is described first comparison matrix test coefficient be not less than the first predetermined threshold value in the case of, redefine the influence because First significance level of the element relative to other influences factor, according to the second comparison of first significance level construction redefined Matrix, the content for described first being compared matrix replaces with the content of the second comparison matrix, and returns and execute the basis The maximum eigenvalue of the first comparison matrix, the first comparison order of matrix number, calculate the one of the first comparison matrix The step of uniformity factor；

In the case where the test coefficient of the first comparison matrix is less than the first predetermined threshold value, matrix is compared according to described first Feature vector and it is described first comparison matrix maximum eigenvalue, obtain it is described first comparison matrix the first weight vectors.

4. according to the method described in claim 1, it is characterized in that, described be directed to each influence factor, in the current shadow In the case that the metric of the factor of sound is minimum, according to default relatively scale table, determine that the equipment is resident each default resident shape Second significance level of the state relative to other resident states in addition to the current influence factor, obtains the second weight vectors, packet It includes：

For each influence factor, in the case where the metric of current influence factor is minimum, according to default relatively scale Table determines that the equipment is resident second of each resident state relative to other resident states in addition to the current resident state Significance level, and third is constructed according to second significance level and compares matrix；

Order of matrix number and third comparison order of matrix number and the second random consistent sex factor are compared according to the third Correspondence, determine and the corresponding second random consistent sex factor of third comparison order of matrix number；

CI_BThe consistent sex factor of matrix is compared for third；λ_BThe maximum eigenvalue of matrix is compared for third；M is that third compares matrix Exponent number；

β_BThe test coefficient of matrix is compared for third；CI_BThe consistent sex factor of matrix is compared for third；RI_BIt is random consistent for second Sex factor；

The third compare matrix test coefficient be not less than the second predetermined threshold value in the case of, redefine the influence because Second significance level of the element relative to other influences factor, according to the 4th comparison of second significance level construction redefined Matrix, the content that the third is compared to matrix replaces with the content of the 4th comparison matrix, and returns and execute the basis The maximum eigenvalue of the third comparison matrix, the third compare order of matrix number, calculate the one of the third comparison matrix The step of uniformity factor；

In the case where the third compares the test coefficient of matrix less than the second predetermined threshold value, matrix is compared according to the third Feature vector and the maximum eigenvalue of third comparison matrix obtain the second weight vectors of third comparison matrix.

5. a kind of determining device of target resident state, which is characterized in that described device includes：First acquisition module, second are obtained Modulus block and setup module, wherein

First acquisition module, for for each influence factor for influencing resident state determination, comparing scale according to default Table determines first significance level of each influence factor relative to the other influences factor in addition to the current influence factor, obtains Take the first weight vectors, wherein each influence factor includes：At least two in power consumption, signaling overheads, time delay consumption Kind；

Second acquisition module is minimum in the metric of the current influence factor for being directed to each influence factor In the case of, according to the default relatively scale table, determine that the equipment is resident each default resident state and is somebody's turn to do relative to except current Second significance level of other resident states other than influence factor obtains the second weight vectors；

The setup module, for using the product of first weight vectors and second weight vectors as third weight to Amount, using the corresponding resident state of weight factor in the third weight vectors as target resident state.

6. device according to claim 5, which is characterized in that the setup module is additionally operable to：

7. device according to claim 5, which is characterized in that first acquisition module is additionally operable to：

8. device according to claim 5, which is characterized in that second acquisition module is additionally operable to：

9. a kind of electronic equipment, which is characterized in that including processor, communication interface, memory and communication bus, wherein processing Device, communication interface, memory complete mutual communication by bus,

Memory, for storing computer program；

Processor when for executing the program stored on memory, realizes any method and steps of claim 1-4.

10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium Program realizes claim 1-4 any method and steps when the computer program is executed by processor.