CN102480465A - Self-adaptive adjusting method, sensor node and sensor network - Google Patents
Self-adaptive adjusting method, sensor node and sensor network Download PDFInfo
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Abstract
The invention provides a self-adaptive adjusting method, which comprises the following steps of: acquiring information data, extracting at least one control variable reflecting an information auto-correlation according to the information data; sorting at least one control variable reflecting the information auto-correlation according to index demand; adjusting value of a controllable parameter corresponding to at least one control variable reflecting the information auto-correlation in a protocol stack according to the sorting result. The present invention also provides a sensor node and a sensor network having the sensor node. Moreover, the extracted control variable and the variable reflecting network communication condition received in the protocol stack can be combined and optimized according to the index command to realize the bilateral control, thus increasing the performance of network system.
Description
Technical field
The present invention relates to the communication technology, relate in particular to adaptive regulation method, sensor node and sensor network.
Background technology
Wireless sensor network (Wireless Sensor Network; Be called for short WSN) be a kind of wireless network that forms through the self-organizing mode by the sensor node of a large amount of low complex degrees; Each network node is made up of sensing module, processing module, communication module and power module, accomplishes data acquisition, data transmit-receive, three basic functions of data forwarding.Characteristics such as wireless sensor network has high reliability, be prone to dispose and can expand.The generation of the low power consuming devices that a new generation is littler, more cheap, the data computation that Distributed Calculation is brought make the Multifunction Sensor that develops low cost, low-power consumption, small size, short distance communication become possibility with the raising of disposal ability and the development of MEMS, have established the basis of the generation and the development of wireless sensor network.Wireless sensor network does not need the fixed network support, has characteristics such as rapid deployment, survivability be strong, can be widely used in fields such as military affairs, industry, building, storage, Smart Home, environmental protection, has caused people's extensive concern.
Because the particularity of sensor network causes sensor network that the requirement of operating system is had bigger difference with respect to legacy operating system.Therefore, new operating system and related software based on sensor network are studied and designed to characteristics such as diversity, the hardware capability that needs are used to sensor network is limited, resource-constrained, node microminiaturization.TinyOS is a kind of operating system representative in the moment sensor network.
In the wireless sensor network node design, the wireless communication RF module is an indispensable part.Along with the issue of IEEE802.15.4 standard, each big wireless chip production firm of the world has released the radio transmitting and receiving chip of supporting IEEE802.15.4 successively.Wherein the CC2420 of Chipcon company release is more representational product.
Peer-to-peer network is a kind of very important topological structure in the wireless sensor network.A kind of common peer network architecture is as shown in Figure 1, compares with the conventional wireless network topological structure to have some structures and technical different.The node of network internal generally all is identical, only allows usually to communicate by letter with the nearest neighbours of node.
In wireless peer-to-peer network, each node all has identical functions in the network, dereliction from branch, each node both can be served other node in the network, for other node provides resource, also can enjoy other node service, the resource of utilizing other node to provide.
Because the equal standing of each node, under the situation that does not have the Control Node allocation of network resources, sensor node self should have certain intelligence, i.e. the ability of self adaptation adjusting.Self-control through each node self reaches the resource allocation that changes network, the effect that improves energy service efficiency and raising QoS.
Realize many methods energy-conservation and raising QoS in the moment sensor network research; Be as driving events through the information in sensor node acquisition of communication channels and the network; Realize the parameter regulation in the network protocol stack then; It is a kind of regulating and controlling mode from bottom to top; Such as various researchs and application based on CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance, the access/conflict of carrier sense multiple spot is avoided) and AODV (Ad Hoc on Demand Distance Vector, wireless self-networking is plan range vector route as required) mechanism.But there is certain limitation in such method, owing to need information in acquisition of communication channels and the network as driving events, needs the certain communication overhead of additive decrementation, thereby has too much consumed the communication resource.
Summary of the invention
In view of one or more technical problems set forth above, a kind of adaptive regulation method is provided.
This adaptive regulation method comprises: the Information Monitoring data; Extract the control variables of at least one reflection information autocorrelation according to said information data; Sort according to the control variables of index request to said at least one reflection information autocorrelation; Regulate in the protocol stack parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results.The disclosed adaptive regulation method of present patent application is through top-down regulating and controlling mode, do not need information in acquisition of communication channels and the network as driving events, reduced the consumption of the communication resource, strengthened the adaptive adjustment capability of meshed network.In addition, the variable of the reaction network signal intelligence of receiving in control variables that can also be through the reflection information autocorrelation that will extract and the protocol stack carries out Combinatorial Optimization according to index request, thereby can realize two-way control, further improves the performance of network system.
A kind of sensor node also is provided, has comprised: acquisition module is used for the Information Monitoring data; Extraction module is used for extracting the control variables that at least one reflects the information autocorrelation according to said information data; Order module is used for sorting according to the control variables of index request to said at least one reflection information autocorrelation; Adjustment module is used for the ranking results according to said order module, regulates in the protocol stack of said sensor node the parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation.The disclosed sensor node of present patent application has adopted top-down regulative mode, owing to do not need information in acquisition of communication channels and the network as driving events, thus reduced the consumption of the communication resource, adaptive adjustment capability is enhanced.In addition, can also carry out Combinatorial Optimization according to index request, can realize two-way control, further improve the performance of network system through variable with the reaction network signal intelligence of receiving in control variables of extracting and the protocol stack.
A kind of sensor network also is provided, has had aforesaid sensor node.The disclosed sensor network of present patent application has adopted top-down regulative mode, does not need information in acquisition of communication channels and the network as driving events, thereby has reduced the consumption of the communication resource, and the self adaptation ability adjustment is enhanced.In addition, can also carry out Combinatorial Optimization according to index request through variable, thereby can realize two-way control, further improve the performance of network system the reaction network signal intelligence of receiving in control variables of extracting and the protocol stack.
Description of drawings
Fig. 1 shows a kind of logical schematic of peer network architecture;
Fig. 2 shows the flow chart of an embodiment of adaptive regulation method;
Fig. 3 shows the flow chart of another embodiment of adaptive regulation method;
Fig. 4 shows the block diagram of an embodiment of sensor node;
Fig. 5 shows the block diagram of another embodiment of sensor node;
Fig. 6 shows the function declaration figure of an embodiment of the middleware module of using among another embodiment of the sensor node shown in Fig. 5; And
Fig. 7 show the IEEE802.15.4 physical layer at 2.4GHz to the sketch map that 16 wireless channels are provided between the 2.4835GHz.
Embodiment
In order more to be expressly understood above-mentioned purpose of the present invention, feature and advantage, the present invention is further described in detail below in conjunction with accompanying drawing and embodiment.
Although set forth a lot of details in the following description so that make much of the present invention,, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to following disclosed specific embodiment.
Fig. 2 shows the flow chart of an embodiment of adaptive regulation method.As shown in Figure 2, this adaptive regulation method comprises: step 202, Information Monitoring data; Step 204 is extracted the control variables that at least one reflects the information autocorrelation according to information data; Step 206 sorts according to the control variables of index request at least one reflection information autocorrelation; Step 208 is according to reflecting the parameter value of the corresponding controllable parameter of control variables of information autocorrelation with at least one in the ranking results adjusting protocol stack.According to adaptive regulation method shown in Figure 2, owing to adopted regulative mode from top to bottom, do not need information in acquisition of communication channels and the network as driving events, reduced the consumption of the communication resource, strengthened the adaptive adjustment capability of meshed network.In addition, can also carry out Combinatorial Optimization according to index request through variable, thereby can realize two-way control, further improve the performance of network system the reaction network signal intelligence of receiving in control variables of extracting and the protocol stack.
In technique scheme, preferably, step 204 is specially: the preliminary treatment rule is set; According to the preliminary treatment rule information data is carried out preliminary treatment, extract the control variables of at least one reflection information autocorrelation.The setting of preliminary treatment rule can reduce the inner contact of information complexity and resolving information.
In technique scheme, preferably, this adaptive regulation method also comprises: the intermediate parameters collection is set, and the intermediate parameters collection comprises the corresponding optional parameters value of control variables with each reflection information autocorrelation.Owing to be provided with the middleware parameter set, can preserve the optional parameters collection for each control variables that reflects the information autocorrelation.Optional parameters is concentrated and can the parameter that optional parameters is concentrated be sorted, and the more parameters that sequence number is more little helps improving index, and the more parameters that sequence number is big more helps increasing dormancy time.In this way, can realize two loop controls with the control variables of at least one reflection information autocorrelation being sorted to network and joint behavior according to index request.
In technique scheme; Preferably; The step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of at least one reflection information autocorrelation according to ranking results is specially: inquiry intermediate parameters collection; According to ranking results, for confirming optimal value with the corresponding optional parameters of control variables of at least one reflection information autocorrelation; According to reflecting that with at least one the optimal value of the corresponding optional parameters of control variables of information autocorrelation reaches and the corresponding optional parameters of control variables of at least one reflection information autocorrelation and the functional relation of the controllable parameter in the protocol stack, confirms the parameter value of the controllable parameter in the protocol stack.
In technique scheme; Preferably; The step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of at least one reflection information autocorrelation according to ranking results is specially: confirm that said intermediate parameters concentrates the constant interval with the parameter value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, select the optimal value of said optional parameters; According to the said optimal value of the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirm the parameter value of the controllable parameter in the said protocol stack.In addition, can also carry out Combinatorial Optimization according to index request through variable, thereby can realize two-way control, further improve the performance of network system the reaction network signal intelligence of receiving in control variables of extracting and the protocol stack.
In technique scheme, preferably, ordering is to realize through giving different weights for the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, adaptive regulation method can be applicable to sensor network, and in the step of Information Monitoring data, information data is the information data of external environment condition, and index request is the QoS index request.
The information data that it will be appreciated by those skilled in the art that external environment condition can comprise temperature, humidity, brightness, acceleration, the sound intensity, pressure or the like.
In technique scheme, owing to do not need information in acquisition of communication channels and the network as driving events, thus reduced the consumption of the communication resource, strengthened the self adaptation ability adjustment of meshed network.In addition, the variable of the reaction network signal intelligence of receiving in control variables that can also be through the reflection information autocorrelation that will extract and the protocol stack carries out Combinatorial Optimization according to index request, thereby can realize two-way control, further improves the performance of network system.
Fig. 3 shows the flow chart of another embodiment of adaptive regulation method.As shown in Figure 3, showing with the sensor node is example, under the situation of not controlling other external node, and the adaptive regulation method of sensor node.In this example, the driving events that environment that sensor node is collected or application scenarios information are regulated as node self-adapting realizes top-down control.Concrete steps comprise:
Fig. 4 shows the block diagram of an embodiment of sensor node.In accordance with a further aspect of the present invention, a kind of sensor node 400 is provided, has comprised: acquisition module 402 is used for the Information Monitoring data; Extraction module 404 is used for extracting the control variables that at least one reflects the information autocorrelation according to information data; Order module 406 is used for sorting according to the control variables of index request at least one reflection information autocorrelation; Adjustment module 408 is used for the ranking results according to order module, reflects the parameter value of the corresponding controllable parameter of control variables of information autocorrelation with at least one in the protocol stack of adjusting sensor node.Through adopting top-down mode, do not need information in acquisition of communication channels and the network according to the disclosed sensor node of present patent application, reduced the consumption of the communication resource, strengthened adaptive adjustment capability as driving events.In technique scheme, owing to do not need information in acquisition of communication channels and the network as driving events, thus reduced the consumption of the communication resource, strengthened the self adaptation ability adjustment of meshed network.
In addition, the variable of the reaction network signal intelligence of receiving in control variables that can also be through the reflection information autocorrelation that will extract and the protocol stack carries out Combinatorial Optimization according to index request, thereby can realize two-way control, further improves the performance of network system.
In technique scheme, preferably, extraction module 404 comprises: module 410 is set, is used to be provided with the preliminary treatment rule; Pretreatment module 412 is used for according to the preliminary treatment rule that module is provided with is set information data being carried out preliminary treatment, extracts the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, adjustment module 408 can comprise: middleware module 414 and protocol stack parameter determination module 416.Middleware module 414 can comprise: the intermediate parameters collection is provided with submodule 4142, is used to be provided with the intermediate parameters collection, and the intermediate parameters collection comprises the optional parameters value of the control variables of each the reflection information autocorrelation that is used for transducer; Inquiry submodule 4144; The inquiry intermediate parameters is provided with the intermediate parameters collection that submodule 4142 is provided with; According to ranking results from order module 406; For confirming optimal value with the corresponding optional parameters of control variables of at least one reflection information autocorrelation; Be used for also confirming that said intermediate parameters is concentrated and the constant interval of the parameter value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, confirm the optimal value of said optional parameters.Protocol stack parameter determination module 416 that confirm according to inquiry submodule 4144 with the corresponding optional parameters of control variables at least one reflection information autocorrelation optimal value and with the corresponding optional parameters of control variables of at least one reflection information autocorrelation and the functional relation of the controllable parameter in the protocol stack, confirm the parameter value of the controllable parameter in the protocol stack.
In technique scheme, preferably, ordering can be to realize through giving different weights for the control variables of at least one reflection information autocorrelation.
In technique scheme, preferably, information data can be the information data of external environment condition, and index request is the QoS index request.
The information data that it will be appreciated by those skilled in the art that external environment condition can comprise temperature, humidity, brightness, acceleration, the sound intensity, pressure or the like.
Fig. 5 shows the block diagram according to another embodiment of sensor node of the present invention.In the figure, show in sensor node according to the present invention annexation in pretreatment module 502 and middleware module 504 and the protocol stack between each key-course.
Pretreatment module 502: from the environment that collects or application scenarios data, parse control information.Pretreatment module 502 can be the software module, also can be hardware module independently.To consider the restriction of sensor node processes speed and memory size during the design of software module.For improving handling property, generally adopt hardware module.Owing to added pretreatment module 502, thereby on the basis of perception external environmental information, information carried out preliminary pretreated ability.
Middleware module 504: as a part of node operating system.Middleware module 504 is preserved an optional parameters collection for the control variables of each reflection information autocorrelation.Optional parameters concentrates the parameter that comprises to realize ordering: the more parameters that sequence number is more little helps improving QoS, and the more parameters that sequence number is big more helps increasing dormancy time.In this way, realize two loop controls with the control variables of at least one reflection information autocorrelation being sorted to network and joint behavior according to index request.Middleware module 504 can be connected to each key-course of protocol stack, comprises application layer 506, transport layer 508, network layer 510, MAC layer 512 and physical layer 514.The controlling object of these key-courses of protocol stack comprises: message model, Route Selection, duty ratio setting, work and resting state conversion etc.Owing to added middleware module 504; Can carry out self adaptation to each layer parameter of network protocol stack regulates; For example, regulate message model configuration, route selected, jumping figure qualification, node duty ratio setting, the setting, the setting of sampling rate, the selection of operating frequency, the size of buffer area of priority is provided with etc. when adopting competition mechanism.
According to embodiments of the invention; Design by the sensor node operation system; Can information processing be combined with application with the design of network application layer, transport layer, network layer, MAC layer and physical layer, through optimizing the purpose that realizes improving wireless sensor network performance.
As shown in Figure 6, the effect of middleware module 504 reduce following some:
(1) bridge between command, control, communications, and information is handled;
(2) passage of control relation from top to bottom;
(3) the optional parameters collection of storage each layer of protocol stack control variables of being used to optimize;
(4) the new logical combination between control variables, but advise between the protocol stack optimization variable and the new syntagmatic between the search index;
(5) between top-down control relation and control relation from bottom to top, play the effect of telegon.
To further describe part below based on such scheme, realize embodiment energy-conservation and raising QoS.
In this embodiment, optical sensor is gathered the intensity signal in the external environment condition; The pretreatment module of information is asked difference and some difference size comparison thresholds is set at a distance from some cycles the light intensity that collects is every.According to comparison threshold, difference is big more, and priority is high more.
IEEE 802.15.4 is that ieee standard association is to low-speed wireless personal area network (low-rate wireless personal area network; LR-WPAN) standard of formulating is one of the most important agreement of present wireless sensor network and radio communication platform.The IEEE802.15.4 physical layer at 2.4GHz to 16 wireless channels are provided between the 2.4835GHz, as shown in Figure 7.In addition, in the realization chip (such as the CC2420 of TI company) of IEEE802.15.4 agreement, provide a plurality of candidate's power can supply configuration.In the IEEE802.15.4MAC layer, beacon management and channel access control are two critical functions of sublayer, and these functions can realize through superframe.In LR-WPAN beacon enable mode, superframe is divided into active period (active portion) and two parts of inactive phase (inactive portion) with call duration time.Active period is divided into three phases: beacon frame transmit time segments, contention access period (contention access period; CAP) and non-competing access-hours (contention-free period; CFP), CAP is used for node through time slot CSMA/CA algorithm competitive channel resource; CFP is used to application-specific and distributes specific channel resource, mainly is in order to satisfy communication delay and the higher application of bandwidth requirement.In the inactive phase, the equipment in the network can not intercom mutually, with the resting state that gets into low-power consumption to save energy.
To the IEEE802.15.4 agreement,, in physical layer, can extract frequency and power as the control variables that will regulate according to the result after the pretreatment module processing.
The adaptive control of frequency: the information high to priority; Can select to use less frequency; With the signal quality of raising transmission of messages and the real-time of transmission of messages, the information low to priority can select to use more frequency; In the use of frequency domain, supply the high message of priority to use more frequency resources.
The self adaptation of power is regulated: the information high to priority, can strengthen transmitting power, to improve real-time and the reliability that message transmits.The information low to priority can reduce transmitting power, improves the utilization ratio of energy.
At this, it should be appreciated by those skilled in the art that the adaptive control of above-mentioned frequency and the self adaptation of power are regulated can separate independent use, also can make up use according to priority according to the requirement of index.
Equally, those skilled in the art be also to be understood that after pretreatment module, can also come to confirm optimal value for the control variables that pretreatment module is confirmed through middleware module.
To the IEEE802.15.4 agreement, in the MAC layer, the number that can counter will be counted is as control variables.
The adaptive control of counter: in superframe structure, the transmission cycle of beacon, (beacon interval BI) was defined as two time intervals between the continuous beacon frame.Under the condition that BI confirms, energy-conservation for realizing, in sensor node, counter can be set, the effect of counter is that the number of calculating BI is in each superframe, all to occur with the control active period, still whenever at a distance from what BI appearance once.Confirm good priority according to the front, under the highest situation of priority, active period all occurs in each superframe, is transmission assurance as much as possible enlivening the time, the timely describe environment change in information of guaranteed qos in this way of this node data; Under the minimum situation of priority, can be through counter be made as maximum, the time that makes active period in BI, occur reaches the longest.Through prolonging the time that active period occurs, can increase the time of this node, thereby effectively save energy in non-active period dormancy.When the priority value the highest and minimum between the time, can confirm that the occurrence of counter comes to be that this node selects the suitable time of occurrence of active period according to the requirement of energy-conservation or QoS.
Those skilled in the art be also to be understood that after pretreatment module, can also come to confirm optimal value for the control variables that pretreatment module is confirmed through middleware module.
The method that proposes according to embodiments of the invention is also applicable to network layer, transport layer and application layer.
A kind of possible execution mode of network layer is as control variables with route.
The adaptive control of route: the information high to priority; Can select the less route of network congestion, to improve QoS, the information low to priority; Can select the more route of network congestion, so that produce or provide the few route of conflict to supply the high message of priority to use.
A kind of possible execution mode of transport layer is as control variables with host-host protocol.
The adaptive control of host-host protocol: the information high to priority, can select the higher transmission means of reliability, the information low to priority can be selected the lower transmission means of reliability.
A kind of possible execution mode of application layer is that transmission cycle with message is as control variables.
Message is sent the adaptive control in cycle: the information high to priority, can dwindle transmission cycle of message, and to improve the frequency of transmission of messages, promote QoS; The information low to priority, the transmission cycle that can increase message is to save energy.
At this, it should be appreciated by those skilled in the art that the self adaptation of above-mentioned various Control Parameter is regulated and can independently be carried out, also can be according to the requirement of index, make up according to priority and to carry out.
Equally, those skilled in the art be also to be understood that after pretreatment module, can also come to confirm optimal value for the control variables that pretreatment module is confirmed through middleware module.
Although above-mentioned is that example has been described the adaptive regulation method of sensor node according to an embodiment of the invention with the control variables in each key-course of protocol stack; But it should be appreciated by those skilled in the art; Can be applied to other control variables equally according to adaptive regulation method of the present invention; And can be applied to the different control variables in the different key-courses simultaneously, thereby realize realizing top-down control according to the information data of external environment condition.
To sum up; Adaptive regulation method, sensor node and sensor network are through using pretreatment module according to an embodiment of the invention; On the basis of perception external environmental information, information is carried out preliminary preliminary treatment; Reduced the information complexity and parsed the inner contact of information,, set up the passage of control relation from top to bottom through middleware module; Between top-down control relation and control relation from bottom to top, play the effect of telegon, realized the self adaptation of each layer parameter of procotol is regulated.And,, make maintenance and update system simpler owing to adopt the form of middleware module.In addition, can also carry out Combinatorial Optimization according to index request through variable, thereby can realize two-way control, further improve the performance of network system the reaction network signal intelligence of receiving in control variables of extracting and the protocol stack.
The above is merely the preferred embodiments of the present invention, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.All within spirit of the present invention and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
About comprising the execution mode of above embodiment 1～n, following remarks is also disclosed.
1. an adaptive regulation method is characterized in that, comprising:
The Information Monitoring data;
Extract the control variables of at least one reflection information autocorrelation according to said information data;
Sort according to the control variables of index request to said at least one reflection information autocorrelation; And
Regulate in the protocol stack parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results.
2. according to remarks 1 described adaptive regulation method, it is characterized in that, also comprise: the intermediate parameters collection is set, and said intermediate parameters collection comprises the parameter value with the corresponding optional parameters of each control variables.
3. according to remarks 2 described adaptive regulation methods, it is characterized in that said step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results is specially:
Inquire about said intermediate parameters collection, according to said ranking results, for confirming optimal value with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation; And
According to the said optimal value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation and with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirm the parameter value of the controllable parameter in the said protocol stack.
4. according to remarks 2 described adaptive regulation methods, it is characterized in that said step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results is specially:
Confirm that said intermediate parameters is concentrated and the constant interval of the parameter value of the corresponding optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, select the optimal value of said optional parameters; And
According to the said optimal value of the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirm the parameter value of the controllable parameter in the said protocol stack.
5. according to each described adaptive regulation method in the remarks 1 to 4, it is characterized in that said ordering is to realize through giving different weights for the control variables of said at least one reflection information autocorrelation.
6. according to each described adaptive regulation method in the remarks 1 to 4, it is characterized in that in the step of said Information Monitoring data, said information data is the information data of external environment condition, said index request is the QoS index request.
7. a sensor node is characterized in that, comprising:
Acquisition module is used for the Information Monitoring data;
Extraction module is used for extracting the control variables that at least one reflects the information autocorrelation according to said information data;
Order module is used for sorting according to the control variables of index request to said at least one reflection information autocorrelation; And
Adjustment module is used for the ranking results according to said order module, regulates in the protocol stack of said sensor node the parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation.
8. according to remarks 7 described sensor nodes, it is characterized in that said adjustment module comprises:
Middleware module comprises:
The intermediate parameters collection is provided with submodule, is used to be provided with the intermediate parameters collection, and said intermediate parameters collection comprises the optional parameters value with corresponding each control variables of said transducer; And
The inquiry submodule; Be used to inquire about said intermediate parameters the intermediate parameters collection that submodule is provided with is set; According to said ranking results from said order module; For confirming optimal value with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation; Be used for also confirming that said intermediate parameters is concentrated and the constant interval of the parameter value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, confirm the optimal value of said optional parameters; And
Protocol stack parameter determination module; Said optimal value with the corresponding said optional parameters of control variables said at least one reflection information autocorrelation that confirm according to said inquiry submodule reaches and the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirms the parameter value of the controllable parameter in the said protocol stack.
9. according to remarks 7 or 8 described sensor nodes, it is characterized in that said ordering is to realize through giving different weights for said at least one control variables.
10. according to remarks 7 or 8 described sensor nodes, it is characterized in that said information data is the information data of external environment condition, said index request is the QoS index request.
11. a sensor network is characterized in that, has according to each described sensor node in the remarks 7 to 9.
Claims (10)
1. an adaptive regulation method is characterized in that, comprising:
The Information Monitoring data;
Extract the control variables of at least one reflection information autocorrelation according to said information data;
Sort according to the control variables of index request to said at least one reflection information autocorrelation; And
Regulate in the protocol stack parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results.
2. adaptive regulation method according to claim 1 is characterized in that, also comprises: the intermediate parameters collection is set, and said intermediate parameters collection comprises the parameter value with the corresponding optional parameters of each control variables.
3. adaptive regulation method according to claim 2 is characterized in that, said step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results is specially:
Inquire about said intermediate parameters collection, according to said ranking results, for confirming optimal value with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation; And
According to the said optimal value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation and with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirm the parameter value of the controllable parameter in the said protocol stack.
4. adaptive regulation method according to claim 2 is characterized in that, said step of regulating in the protocol stack with the parameter value of the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation according to ranking results is specially:
Confirm that said intermediate parameters is concentrated and the constant interval of the parameter value of the corresponding optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, select the optimal value of said optional parameters; And
According to the said optimal value of the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirm the parameter value of the controllable parameter in the said protocol stack.
5. according to each described adaptive regulation method in the claim 1 to 4, it is characterized in that said ordering is to realize through giving different weights for the control variables of said at least one reflection information autocorrelation.
6. according to each described adaptive regulation method in the claim 1 to 4, it is characterized in that in the step of said Information Monitoring data, said information data is the information data of external environment condition, said index request is the QoS index request.
7. a sensor node is characterized in that, comprising:
Acquisition module is used for the Information Monitoring data;
Extraction module is used for extracting the control variables that at least one reflects the information autocorrelation according to said information data;
Order module is used for sorting according to the control variables of index request to said at least one reflection information autocorrelation; And
Adjustment module is used for the ranking results according to said order module, regulates in the protocol stack of said sensor node the parameter value with the corresponding controllable parameter of control variables of said at least one reflection information autocorrelation.
8. sensor node according to claim 7 is characterized in that, said adjustment module comprises:
Middleware module comprises:
The intermediate parameters collection is provided with submodule, is used to be provided with the intermediate parameters collection, and said intermediate parameters collection comprises the optional parameters value with corresponding each control variables of said transducer; And
The inquiry submodule; Be used to inquire about said intermediate parameters the intermediate parameters collection that submodule is provided with is set; According to said ranking results from said order module; For confirming optimal value with the corresponding optional parameters of control variables of said at least one reflection information autocorrelation; Be used for also confirming that said intermediate parameters is concentrated and the constant interval of the parameter value of the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation, and in said constant interval, confirm the optimal value of said optional parameters; And
Protocol stack parameter determination module; Said optimal value with the corresponding said optional parameters of control variables said at least one reflection information autocorrelation that confirm according to said inquiry submodule reaches and the corresponding said optional parameters of control variables of said at least one reflection information autocorrelation and the functional relation of the controllable parameter in the said protocol stack, confirms the parameter value of the controllable parameter in the said protocol stack.
9. according to claim 7 or 8 described sensor nodes, it is characterized in that said ordering is to realize through giving different weights for said at least one control variables.
10. a sensor network is characterized in that, has according to each described sensor node in the claim 7 to 9.
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