CN111432451A - Multi-logic e-SIM priority-based access method and system for power Internet of things terminal - Google Patents

Multi-logic e-SIM priority-based access method and system for power Internet of things terminal Download PDF

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CN111432451A
CN111432451A CN202010158436.9A CN202010158436A CN111432451A CN 111432451 A CN111432451 A CN 111432451A CN 202010158436 A CN202010158436 A CN 202010158436A CN 111432451 A CN111432451 A CN 111432451A
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network
candidate network
candidate
signal strength
energy efficiency
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吕玉祥
邵炜平
杨阳
董亚文
马平
杜广东
稂龙亚
斯庭勇
吴昊
张孜豪
王文清
王红全
徐逸
李壮
严世鑫
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Zhejiang Electric Power Co Ltd
Anhui Jiyuan Software Co Ltd
Shaoxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Zhejiang Electric Power Co Ltd
Anhui Jiyuan Software Co Ltd
Shaoxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/02—Access restriction performed under specific conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/18—Selecting a network or a communication service
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The embodiment of the invention provides an access method and system of an electric power Internet of things terminal based on multi-logic e-SIM priority, and belongs to the technical field of communication. The access method comprises the following steps: acquiring accessible candidate networks to form a candidate network set; respectively acquiring the received signal strength, the service quality, the energy efficiency and the network load of each candidate network; deleting the candidate networks in the candidate network set, wherein the received signal strength of the candidate networks is lower than a preset threshold value; performing a normalization operation on the received signal strength, the quality of service, the energy efficiency, and the network load; determining the received signal strength, the service quality, the energy efficiency and the weight of the network load by adopting a hierarchical analysis method; determining a priority function according to the weight; respectively calculating a priority function value of each candidate network; and determining the optimal candidate network according to the priority function value.

Description

Multi-logic e-SIM priority-based access method and system for power Internet of things terminal
Technical Field
The invention relates to the technical field of communication, in particular to an access method and system of an electric power internet of things terminal based on multi-logic e-SIM priority.
Background
Wireless communication technology has developed rapidly in recent years, and wireless communication networks of various backgrounds, targets and system architectures provide ubiquitous and heterogeneous network environments for users. Only by fully utilizing the complementary characteristics of the networks and cooperatively realizing the organic combination of the heterogeneous networks, the user can be provided with the experience of near seamless access. The rapid development of multimode terminals has also accelerated the implementation of such combinations.
For the ubiquitous power internet of things which has emerged in recent years, the access technology also needs to be heterogeneous, and multiple wireless communication access technologies need to be provided and supported. Once the accessed current network fails, its impact on the carried power traffic is very severe. In order to deal with the situation that services cannot be reliably transmitted due to network failure or environmental change, a technology is needed to provide a fast and reliable protection method for a power communication network, so that adaptive remote configuration under the multi-mode condition is realized, and the survivability of the network is improved. When the current network has faults, such as the power failure of a base station, the failure of nodes, the signal degradation and other obstacles, the multimode communication access system can quickly carry out channel self-adaptive switching based on various communication technologies without human intervention by depending on the self protection function, and can quickly recover network communication in a very short time, so that the power service is basically not influenced, and the duration of the faults is reduced to the minimum. In addition, different power service types have different sensitivities to delay, reliability and throughput, so that switching opportunity, switching target, switching speed and the like all have serious influence on switching of the multimode channel.
Disclosure of Invention
The embodiment of the invention aims to provide an access method and system of an electric power Internet of things terminal based on multi-logic e-SIM priority. The access method and the access system can improve the access efficiency of the e-SIM network.
In order to achieve the above object, an embodiment of the present invention provides an access method for an electric power internet of things terminal based on multiple logic e-SIM priorities, where the access method includes:
acquiring accessible candidate networks to form a candidate network set;
respectively acquiring the received signal strength, the service quality, the energy efficiency and the network load of each candidate network;
deleting the candidate networks in the candidate network set, wherein the received signal strength of the candidate networks is lower than a preset threshold value;
performing a normalization operation on the received signal strength, the quality of service, the energy efficiency, and the network load;
determining the received signal strength, the service quality, the energy efficiency and the weight of the network load by adopting a hierarchical analysis method;
determining a priority function according to the weight;
respectively calculating a priority function value of each candidate network;
and determining the optimal candidate network according to the priority function value.
Optionally, the performing normalization operations on the received signal strength, the service quality, the energy efficiency, and the network load specifically includes:
performing a normalization operation on the received signal strength according to equation (1),
Figure BDA0002404913640000021
wherein S isiThe received signal strength after performing a normalization operation for candidate network i,
Figure BDA0002404913640000022
for the current signal strength received from the candidate network i,
Figure BDA0002404913640000023
is the power-limited threshold of the candidate network i,
Figure BDA0002404913640000024
is the maximum signal strength transmitted by the base station of the candidate network i.
Optionally, the quality of service includes bit error rate, time delay, and time delay jitter;
performing normalization operations on the received signal strength, the quality of service, the energy efficiency, and the network load specifically includes:
normalizing the bit error rate according to formula (2) and formula (3),
Figure BDA0002404913640000031
Figure BDA0002404913640000032
wherein BERiSaid bit error rate, M, for a candidate network iiIs the modulation index of the candidate network i, riAs to the signal-to-noise ratio of the candidate network i,
Figure BDA0002404913640000033
is the bit error rate threshold value of the candidate network i,
Figure BDA0002404913640000034
the bit error rate of the candidate network i after the normalization operation is executed;
performing a normalization operation on the time delay according to equation (4),
Figure BDA0002404913640000035
wherein D isiFor said time delay of candidate network i after performing normalization operation, diFor said time delay of candidate network i before performing normalization operation, DmaxMaximum time delay allowed for terminal connection, DminMinimum time delay allowed for terminal connection;
performing a normalization operation on the delay jitter according to equation (5),
Figure BDA0002404913640000036
wherein, JiTo perform the time delay jitter of the candidate network i after the normalization operation,
Figure BDA0002404913640000037
maximum delay jitter j of candidate network i allowed by terminal connectioniThe delay jitter of the candidate network i before performing the normalization operation.
Optionally, the performing normalization operations on the received signal strength, the service quality, the energy efficiency, and the network load specifically includes:
performing a normalization operation on the energy efficiency according to equation (6),
Figure BDA0002404913640000038
therein, EEiFor said energy efficiency, ee, of the candidate network i after the normalization operation has been performediTo perform the energy efficiency of candidate network i before normalization,
Figure BDA0002404913640000041
maximum energy efficiency allowed for terminal connection, eiAs transmission rate of the candidate network i, EiThe rate of energy consumption for a terminal to connect to network i;
optionally, the performing normalization operations on the received signal strength, the service quality, the energy efficiency, and the network load specifically includes:
performing a normalization operation on the network load according to equation (7),
Figure BDA0002404913640000042
wherein, BiTo perform the network load of the candidate network i after the normalization operation,
Figure BDA0002404913640000043
to perform the network load of candidate network i before normalization,
Figure BDA0002404913640000044
is the overall bandwidth resource of the candidate network i.
Optionally, determining the received signal strength, the service quality, the energy efficiency, and the weight of the network load by using a hierarchical analysis method specifically includes:
establishing a hierarchical structure model;
constructing a comparison matrix;
performing consistency check on the comparison matrix;
determining the weight according to the comparison matrix under the condition that the comparison matrix meets the consistency check;
in the event that the comparison matrix does not satisfy the consistency check, the comparison matrix is constructed again until the comparison matrix satisfies the consistency check.
Optionally, the determining the priority function according to the weight specifically includes:
determining the priority function according to equation (8),
Figure BDA0002404913640000045
wherein the content of the first and second substances,
Figure BDA0002404913640000046
is the bit error rate
Figure BDA0002404913640000047
The corresponding weight of the weight is set to be,
Figure BDA0002404913640000048
is a time delay DiThe corresponding weight of the weight is set to be,
Figure BDA0002404913640000049
for time delay jitter JiThe corresponding weight of the weight is set to be,
Figure BDA00024049136400000410
for energy efficiency EEiThe corresponding weight of the weight is set to be,
Figure BDA00024049136400000411
load the network with BiThe corresponding weight.
In another aspect, the invention further provides an access system of a multi-logic e-SIM priority based power internet of things terminal, where the access system includes a processor, and the processor is configured to execute any one of the access methods described above.
In yet another aspect, the present invention also provides a storage medium storing instructions for being read by a machine to cause the machine to perform the access method as described in any one of the above.
According to the technical scheme, the access method and the system of the power internet of things terminal based on the multi-logic e-SIM priority calculate the priority function of each candidate network by combining the received signal strength, the service quality, the energy efficiency and the network load of the candidate network, and determine the optimal candidate network by combining the calculation result, so that the technical problem that the optimal network is difficult to select in the prior art is solved, and the working efficiency of the e-SIM network is improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a flowchart of an access method of a multi-logic e-SIM priority based power internet of things terminal according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a distribution of candidate networks according to one embodiment of the present invention;
FIG. 3 is a flow diagram of an analytic hierarchy process according to one embodiment of the present invention;
FIG. 4 is a schematic diagram of a hierarchy model according to one embodiment of the present invention;
FIG. 5 is a graph of average blockage rate according to one embodiment of the present invention; and
fig. 6 is a graph of network load balancing according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
In the embodiments of the present invention, unless otherwise specified, the use of directional terms such as "upper, lower, top, and bottom" is generally used with respect to the orientation shown in the drawings or the positional relationship of the components with respect to each other in the vertical, or gravitational direction.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between the various embodiments can be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not be within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating an access method of a power internet of things terminal (terminal) based on multi-logic e-SIM network priorities according to an embodiment of the present invention. In fig. 1, the access method may include:
in step S10, accessible candidate networks are obtained to form a candidate network set, in this embodiment, the candidate networks may include, but are not limited to, narrowband internet (NB-IoT), L TE network, GPRS network, wireless private network (230mhz wireless private network), etc. among them, there is an overlapping area between each candidate network, and the power traffic types are randomly distributed in the terminal, and its schematic diagram is shown in fig. 2.
In step S11, the received signal strength, the quality of service, the energy efficiency, and the network load of each candidate network are acquired, respectively. The received signal strength may be used to reflect the quality of the communication link between the terminal and the network access point of the candidate network, typically measured as the power of the signal received by the terminal from the network base station or network access point of the candidate network. Because the deployment environments of the terminals of the power internet of things are different, the received signal strength obtained by the received signal is correspondingly changed. In the prior art, although the selection of the candidate network can be rationalized to a certain extent by taking the received signal strength alone as the basis for selecting the candidate network, the received signal strength cannot directly reflect the congestion state of the network, so that the ping-pong effect is easily caused when the candidate network is selected by taking the received signal strength alone as the measurement standard.
The quality of service may include throughput, delay, channel capacity, delay jitter, packet loss rate, bandwidth, etc. In the embodiment, three indexes of bit error rate, time delay and time delay jitter can be selected as the measurement standard. The bit error rate may be an index for measuring accuracy of data in a specified time, and the index is mainly affected by factors such as attenuation, amplitude fading, noise interference, modulation and demodulation modes of a power internet of things channel. The delay may be a transmission delay of the candidate network. The delay jitter may be an index for reflecting the variation of the delay.
Energy efficiency may be used to represent the number of information bits (bits/joule) a candidate network consumes per unit of energy to transmit to a terminal. The network load can then be used to measure the congestion of the candidate network.
In step S12, the candidate networks in the candidate network set whose received signal strength is lower than the preset threshold are deleted. In this embodiment, since the number of candidate networks is large, the amount of calculation in performing the subsequent selection step is enormous. Therefore, in this step S12, deleting the candidate network whose received signal strength is lower than the preset threshold value can reduce the subsequent calculation amount. In addition, the preset threshold value can be determined by those skilled in the art for the actual hardware environment.
In step S13, normalization operations are performed on the received signal strength, quality of service, energy efficiency, and network load.
In this embodiment, for the received signal strength, the normalization can be performed using equation (1),
Figure BDA0002404913640000071
wherein S isiThe received signal strength after performing the normalization operation for the candidate network i,
Figure BDA0002404913640000081
for the current signal strength received from the candidate network i,
Figure BDA0002404913640000082
is the power-limited threshold of the candidate network i,
Figure BDA0002404913640000083
is the maximum signal strength transmitted by the base station of the candidate network i.
For the quality of service, it may be, for example, a bit error rate, a time delay, and a time delay jitter. Then, correspondingly, for the bit error rate, it may be that the normalization operation is performed according to equation (2) and equation (3), for example,
Figure BDA0002404913640000084
Figure BDA0002404913640000085
wherein BERiAs the bit error rate of the candidate network i, MiIs the modulation index of the candidate network i, riAs to the signal-to-noise ratio of the candidate network i,
Figure BDA0002404913640000086
is the bit error rate threshold value of the candidate network i,
Figure BDA0002404913640000087
the error rate of the candidate network i after the normalization operation is executed;
for this time delay, it may be that the normalization is performed, for example, according to equation (4),
Figure BDA0002404913640000088
wherein D isiFor the time delay of the candidate network i after the normalization operation is performed, diFor the time delay of the candidate network i before the normalization operation is performed, DmaxMaximum time delay allowed for terminal connection, DminMinimum time delay allowed for terminal connection;
for this delay jitter, it may be, for example, to perform a normalization operation according to equation (5),
Figure BDA0002404913640000089
wherein, JiTo perform the normalization operation on the delay jitter of the candidate network i,
Figure BDA00024049136400000810
maximum delay jitter j of candidate network i allowed by terminal connectioniIs the delay jitter of the candidate network i before performing the normalization operation.
For energy efficiency, it may be that the normalization is performed, for example, according to equation (6),
Figure BDA0002404913640000091
therein, EEiFor the energy efficiency, ee, of the candidate network i after the normalization operationiTo perform the energy efficiency of the candidate network i before the normalization operation,
Figure BDA0002404913640000092
maximum energy efficiency allowed for terminal connection, eiAs transmission rate of the candidate network i, EiIs the rate of energy consumption by the terminal to connect to network i.
For the energy load, it may be that the normalization is performed, for example, according to equation (7),
Figure BDA0002404913640000093
wherein, BiTo perform the network load of the candidate network i after the normalization operation,
Figure BDA0002404913640000094
to perform the network load of the candidate network i before the normalization operation,
Figure BDA0002404913640000095
is the overall bandwidth resource of the candidate network i.
In step S14, a hierarchical analysis method is used to determine weights of received signal strength, quality of service, energy efficiency, and network load. Specifically, the hierarchical analysis method may be a method including a flow as illustrated in fig. 3. In fig. 3, the analytic hierarchy process may include:
in step S20, a hierarchical structure model is built. In particular, the hierarchy model may be as shown in FIG. 4. In fig. 4, the target layer is a technical problem to be solved, the attribute layer (criterion layer) is an attribute parameter of each candidate network, and the solution layer is each candidate network.
In step S21, a comparison matrix is constructed. Wherein the comparison matrix may be as shown in equation (8). In this step, nine-segment scaling may be used to determine the weights of the individual attribute parameters.
Figure BDA0002404913640000096
Where M is the comparison matrix, n is the number of decision attributes, MiiThe importance degree of the ith attribute relative to the jth attribute is an integer ranging from 1 to 9 or the reciprocal of the integer, mij＝1/mji. The greater the degree of importance, the more important it is.
In addition, in the case that the comparison matrix fails the consistency check, the feature root method (equation (9)) may be employed to iteratively calculate each weight, thereby implementing the update of the comparison matrix,
MW′＝λmaxW， (9)
wherein λ ismaxW is the maximum characteristic root of the current comparison matrix, W is the characteristic vector of the characteristic matrix, and the weight sequence W' can be obtained after normalization processing of the characteristic vector.
In step S22, the comparison matrix is checked for consistency. Specifically, the consistency check process may be to first calculate the consistency ratio of the comparison matrix according to equations (10) and (11),
C.I.＝(λmax-n)/(n-1)， (10)
Figure BDA0002404913640000101
wherein, c.r is the consistency ratio, and r.i. is a value corresponding to the number n of decision attributes obtained by table lookup. And then judging whether the consistency ratio is in a preset acceptable range. If so, determining that the comparison matrix passes the consistency check; if not, the comparison matrix is determined to fail the consistency check.
In step S23, in the case that the comparison matrix satisfies the consistency check, determining a weight according to the comparison matrix;
in the event that the comparison matrix does not satisfy the consistency check, the comparison matrix is constructed again until the comparison matrix satisfies the consistency check.
In step S15, a priority function is determined according to the weights. Specifically, the priority function may be as shown in equation (12),
Figure BDA0002404913640000102
wherein the content of the first and second substances,
Figure BDA0002404913640000103
is the bit error rate
Figure BDA0002404913640000104
The corresponding weight of the weight is set to be,
Figure BDA0002404913640000105
is a time delay DiThe corresponding weight of the weight is set to be,
Figure BDA0002404913640000106
for time delay jitter JiThe corresponding weight of the weight is set to be,
Figure BDA0002404913640000107
for energy efficiency EEiThe corresponding weight of the weight is set to be,
Figure BDA0002404913640000108
load the network with BiThe corresponding weight.
In step S16, a priority function value is calculated for each candidate network, respectively.
In step S17, an optimal candidate network is determined based on the priority function values. Specifically, the candidate network having the largest priority function value may be selected as the optimal network.
In another aspect, the present invention further provides an access system of a multi-logic e-SIM priority based power internet of things terminal, where the access system may include a processor, and the processor may be configured to execute any one of the access methods described above.
In yet another aspect, the present invention also provides a storage medium which may store instructions which can be used to be read by a machine to cause the machine to perform the access method as described in any one of the above.
According to the technical scheme, the access method and the system of the power internet of things terminal based on the multi-logic e-SIM priority calculate the priority function of each candidate network by combining the received signal strength, the service quality, the energy efficiency and the network load of the candidate network, and determine the optimal candidate network by combining the calculation result, so that the technical problem that the optimal network is difficult to select in the prior art is solved, and the working efficiency of the e-SIM network is improved.
In addition, in order to further verify the technical effect of the access method provided by the present invention, in an example of the present invention, other methods in the prior art are adopted to compare with the access method provided by the present application, and the comparison result is shown in fig. 5 and fig. 6.
In fig. 5, when the call arrival rate (call arrival rate) of the terminal (the frequency of selecting a network) is relatively low, the average blocking rate (average network blocking rate) of the two methods is almost 0, because the network resources are relatively sufficient. However, as the call arrival rate increases, the average blocking rate of the prior art method (RSS) increases significantly, whereas the increase rate of the method provided by the present invention is significantly lower than that of the prior art.
Fig. 6 is a graph showing the variation of the network load balancing degree of the two methods. The network load balance is calculated as shown in formula (13),
Figure BDA0002404913640000111
wherein, BOFor the currently occupied total bandwidth, BTFor the current total available bandwidth to be used,
Figure BDA0002404913640000112
the bandwidth occupied for the ith network,
Figure BDA0002404913640000113
is the total bandwidth that the ith network can occupy. d is the network balance degree, and the smaller the value of the d is, the better the performance of the network balance load of the method is. As can be seen from fig. 6, as the number of networks (the number of networks) selected by the terminal increases, the network balance load degree of the method (weight SAW) provided by the present invention is lower relative to the method (RSS) in the prior art, and as the number of networks increases, the network balance load degree is lower. Therefore, the method provided by the invention can greatly improve the efficiency of network selection, thereby improving the working efficiency of the terminal.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
Those skilled in the art can understand that all or part of the steps in the method for implementing the above embodiments may be implemented by a program to instruct related hardware, where the program is stored in a storage medium and includes several instructions to enable a (may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, various different embodiments of the present invention may be arbitrarily combined with each other, and the embodiments of the present invention should be considered as disclosed in the disclosure of the embodiments of the present invention as long as the embodiments do not depart from the spirit of the embodiments of the present invention.

Claims (9)

1. An access method of an electric power Internet of things terminal based on multi-logic e-SIM priority is characterized by comprising the following steps:
acquiring accessible candidate networks to form a candidate network set;
respectively acquiring the received signal strength, the service quality, the energy efficiency and the network load of each candidate network;
deleting the candidate networks in the candidate network set, wherein the received signal strength of the candidate networks is lower than a preset threshold value;
performing a normalization operation on the received signal strength, the quality of service, the energy efficiency, and the network load;
determining the received signal strength, the service quality, the energy efficiency and the weight of the network load by adopting a hierarchical analysis method;
determining a priority function according to the weight;
respectively calculating a priority function value of each candidate network;
and determining the optimal candidate network according to the priority function value.
2. The access method according to claim 1, wherein performing normalization operations on the received signal strength, the quality of service, the energy efficiency, and the network load specifically comprises:
performing a normalization operation on the received signal strength according to equation (1),
Figure FDA0002404913630000011
wherein S isiThe received signal strength after performing a normalization operation for candidate network i,
Figure FDA0002404913630000012
for the current signal strength received from the candidate network i,
Figure FDA0002404913630000013
is the power-limited threshold of the candidate network i,
Figure FDA0002404913630000014
is the maximum signal strength transmitted by the base station of the candidate network i.
3. The access method according to claim 1, wherein the quality of service includes bit error rate, time delay, and time delay jitter;
performing normalization operations on the received signal strength, the quality of service, the energy efficiency, and the network load specifically includes:
normalizing the bit error rate according to formula (2) and formula (3),
Figure FDA0002404913630000021
Figure FDA0002404913630000022
wherein BERiSaid bit error rate, M, for a candidate network iiIs the modulation index of the candidate network i, riAs to the signal-to-noise ratio of the candidate network i,
Figure FDA0002404913630000023
is the bit error rate threshold value of the candidate network i,
Figure FDA0002404913630000024
the bit error rate of the candidate network i after the normalization operation is executed;
performing a normalization operation on the time delay according to equation (4),
Figure FDA0002404913630000025
wherein D isiFor said time delay of candidate network i after performing normalization operation, diFor said time delay of candidate network i before performing normalization operation, DmaxMaximum time delay allowed for terminal connection, DminMinimum time delay allowed for terminal connection;
performing a normalization operation on the delay jitter according to equation (5),
Figure FDA0002404913630000026
wherein, JiTo perform the time delay jitter of the candidate network i after the normalization operation,
Figure FDA0002404913630000027
maximum delay jitter j of candidate network i allowed by terminal connectioniThe delay jitter of the candidate network i before performing the normalization operation.
4. The access method according to claim 1, wherein performing normalization operations on the received signal strength, the quality of service, the energy efficiency, and the network load specifically comprises:
performing a normalization operation on the energy efficiency according to equation (6),
Figure FDA0002404913630000031
therein, EEiFor said energy efficiency, ee, of the candidate network i after the normalization operation has been performediTo perform the energy efficiency of candidate network i before normalization,
Figure FDA0002404913630000032
maximum energy efficiency allowed for terminal connection, eiAs transmission rate of the candidate network i, EiIs the rate of energy consumption by the terminal to connect to network i.
5. The access method according to claim 1, wherein performing normalization operations on the received signal strength, the quality of service, the energy efficiency, and the network load specifically comprises:
performing a normalization operation on the network load according to equation (7),
Figure FDA0002404913630000033
wherein, BiTo perform the network load of the candidate network i after the normalization operation,
Figure FDA0002404913630000034
to perform the network load of candidate network i before normalization,
Figure FDA0002404913630000035
is the overall bandwidth resource of the candidate network i.
6. The access method according to claim 1, wherein determining the received signal strength, the quality of service, the energy efficiency, and the weight of the network load by using a hierarchical analysis method specifically comprises:
establishing a hierarchical structure model;
constructing a comparison matrix;
performing consistency check on the comparison matrix;
determining the weight according to the comparison matrix under the condition that the comparison matrix meets the consistency check;
in the event that the comparison matrix does not satisfy the consistency check, the comparison matrix is constructed again until the comparison matrix satisfies the consistency check.
7. The access method according to claim 1, wherein determining the priority function according to the weight specifically comprises:
determining the priority function according to equation (8),
Figure FDA0002404913630000041
wherein the content of the first and second substances,
Figure FDA0002404913630000042
is the bit error rate
Figure FDA0002404913630000043
The corresponding weight of the weight is set to be,
Figure FDA0002404913630000044
is a time delay DiThe corresponding weight of the weight is set to be,
Figure FDA0002404913630000045
for time delay jitter JiThe corresponding weight of the weight is set to be,
Figure FDA0002404913630000046
for energy efficiency EEiThe corresponding weight of the weight is set to be,
Figure FDA0002404913630000047
load the network with BiThe corresponding weight.
8. An access system of a multi-logic e-SIM priority based power Internet of things terminal, characterized in that the access system comprises a processor for executing the access method according to any one of claims 1 to 7.
9. A storage medium storing instructions for reading by a machine to cause the machine to perform the access method of any one of claims 1 to 7.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102111838A (en) * 2011-03-02 2011-06-29 上海交通大学 Self-adaptation vertical handover method based on RSS (Really Simple Syndication) variation trend
CN103428824A (en) * 2013-09-04 2013-12-04 国家电网公司 Method and device for selecting network under multi-network environment and mobile terminal
CN105636119A (en) * 2015-12-29 2016-06-01 西安交通大学 Picocell sleep joint optimization method based on energy efficiency and traffic load

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102111838A (en) * 2011-03-02 2011-06-29 上海交通大学 Self-adaptation vertical handover method based on RSS (Really Simple Syndication) variation trend
CN103428824A (en) * 2013-09-04 2013-12-04 国家电网公司 Method and device for selecting network under multi-network environment and mobile terminal
CN105636119A (en) * 2015-12-29 2016-06-01 西安交通大学 Picocell sleep joint optimization method based on energy efficiency and traffic load

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