CN102404723A - Agent-based self-adaptive collaboration sensory method for wireless sensor network - Google Patents
Agent-based self-adaptive collaboration sensory method for wireless sensor network Download PDFInfo
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- CN102404723A CN102404723A CN2011103067940A CN201110306794A CN102404723A CN 102404723 A CN102404723 A CN 102404723A CN 2011103067940 A CN2011103067940 A CN 2011103067940A CN 201110306794 A CN201110306794 A CN 201110306794A CN 102404723 A CN102404723 A CN 102404723A
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Abstract
The basic idea of an agent-based self-adaptive collaboration sensory method for a wireless sensor network is that a plurality of mobile agents are distributed in the network at first. The mobile agents have an application code required by a sensor node; moreover, the mobile agents can share the application code in a way of P2P (Peer-to-Peer). The mobile agents sense change of the surrounding environment therein at any time; if the surrounding environment is changed, the mobile agents judge whether an application is reconstructed according to a reconstruction strategy; if so, a new application code is transmitted to the sensor node which is required to reconstruct the application. When successfully obtaining the required application code, the node enters an execution phase; newly-collected data are transmitted by the mobile agents to a convergent node to converge. The way based on the mobile agents can satisfy application requirements of users in an increasing number; developers not only always develop new application codes according to the requirement, but also release the new application codes on the internet. Simultaneously, owing to the data transmission way based on the mobile agents, the communication load in the network is decreased greatly.
Description
Technical field
The present invention relates in the radio sensing network adaptive cooperation cognitive method based on the agency, basic thought is: a plurality of mobile agents at first distribute in wireless sensor network.Mobile agent has the needed application code of sensor node, and can come the sharing application code through the mode of P2P between the mobile agent.Mobile agent is the variation of the surrounding environment at its place of perception at any time, if variation has taken place, mobile agent judges whether that according to reconstruction strategy needs use reconstruct; If desired, then use the new application code of sensor node transmission of reconstruct to needs.Get into the execution phase after successfully getting access to the application code that needs when node, the new data that collects is transferred to aggregation node through mobile agent and carries out polymerization.Mode based on mobile agent can satisfy the growing application demand of user, and the developer develops new application code at any time as required and they are published on the mobile agent.Data transfer mode based on mobile agent has greatly reduced the traffic load in the network simultaneously.Belong to computer network field.
Background technology
Wireless sensor network (Wireless Sensor Network) is the wireless network that is made up of with Ad Hoc mode one group of transducer; Its objective is the information of perceptive object in the geographic area of the perception of cooperation ground, collection and the processing network coverage, and be distributed to the observer.Participate in collaborative node and " understand others' activity, " for oneself activity provides relevant information through the perception of cooperating.Wireless sensor network sends these information to aggregation node then through the information of a plurality of sensor node cooperation ground monitorings, perception and various environment of collection or monitoring target.Sensor node needs the variation of perception ambient condition at any time to adjust adaptively and changes the application on it in the middle of this process.For example, utilize sensor network to keep watch on fire in the intelligent building, under normal circumstances, sensor network only needs the monitor temperature data; When finding that temperature has unusual rising, sensor node need change its application, begins to gather humidity and smog data; In the time of certain breaking out of fire, then sensor node begins to gather the video image of scene of fire; After fire condition was removed, sensor network should return to the collecting temperature data mode again.During whole monitoring, wireless sensor network need be with the variation reconstruct adaptively of the monitoring of environmental state application on it, to adapt to continuous variation and unpredictable external environment.
Two kinds of settling modes are arranged at present, and first kind of mode is the variation by sensor node self perception ambient condition, judges whether then change to use, and if desired, then adjusts and changes application code to adapt to new application.The prerequisite of this mode is before the sensor network initialization, just all application codes once is loaded on the transducer.Yet receive the restriction of transducer self storage, computing capability and stand-by time, the mode that makes this code once load has received great restriction in the middle of the application of reality, also can't satisfy the growing application demand of user simultaneously.The second way is also to be the variation that is come the perception ambient condition by sensor node self, with first kind different is that sensor node will change to report gives aggregation node, use reconstruct by aggregation node then and judge.If desired, then new application code is sent to sensor node.This mode relies on aggregation node to make a strategic decision fully and disposes new application, and therefore the performance to aggregation node itself has very high requirement, has the problem of single point failure.Simultaneously aggregation node is redispatched and has been consumed more bandwidth in the process of new application code, has increased the traffic load of network.In addition, because the variation of environment directly influences the application reconstruct of sensor network, the so following new problem of introducing is exactly the variation how wireless sensor network perceives (or study) environment in real time.
Secondly, wireless sensor network is as the task type network of multi-node collaborative, and a plurality of nodes not only will carry out the collection and the transmission of data, and want polymerization.Though traditional confidentiality that can guarantee task and data itself based on the security mechanism of key; Malicious node in but can not the effective recognition wireless sensor network, the agreement of excitation node and the data that help aggregation node to select the high node of reliability to provide are carried out polymerization.
Therefore press on resource-constrained sensor network, design one can the perception changes in environmental conditions, the adaptive cooperation cognitive method of using reconstruct and accomplishing data aggregate safely and effectively.This method is intended to provide a kind of adaptive safe multi-node collaboration mechanism, finally solves the cooperation perception problems between each sensor node.
Summary of the invention
The object of the present invention is to provide in a kind of radio sensing network based on the adaptive cooperation cognitive method of acting on behalf of.This method is a plurality of mobile agents of distribution in wireless sensor network at first.Mobile agent is one type of special ageng; It is except having the fundamental characteristics of ageng---autonomy, response, initiative and the reasoning property; Also has mobility; Be that it can independently move to another main frame from a main frame on network, representative of consumer is accomplished the task of appointment.Mobile agent has the needed application code of sensor node, and can come the sharing application code through the mode of P2P between the mobile agent.Mobile agent is the variation of the surrounding environment at its place of perception at any time, if variation has taken place, mobile agent judges whether that according to reconstruction strategy needs use reconstruct; If desired, then use the new application code of sensor node transmission of reconstruct to needs.Get into the execution phase after successfully getting access to the application code that needs when node, the new data that collects is transferred to aggregation node through mobile agent and carries out polymerization.Advantage of the present invention is the variation of wireless sensor network perception ambient conditions at any time, uses reconstruct adaptively and guarantees the fail safe of data aggregate.Mode based on mobile agent can satisfy the growing application demand of user, and the developer develops new application code at any time as required and they are published on the mobile agent.Data transfer mode based on mobile agent has greatly reduced the traffic load in the network simultaneously.
For realizing above-mentioned purpose, the present invention takes following technical scheme:
Comprise environment sensing and reconstruct decision phase during practical implementation of the present invention; Code is carried out and the data aggregate stage.A plurality of mobile agents at first distribute in wireless sensor network.The variation of mobile agent perception surrounding environment at any time; Gather environmental data and reasoning is carried out in the variation of ambient condition according to the domain knowledge in the knowledge base; Judge whether the performed application task of present node is fit to the variation of ambient condition; If incompatible, then use the new application code of sensor node transmission of reconstruct to needs.Otherwise sensor node continues to carry out former application task.In this manner, the user only needs on mobile agent once property deployment knowledge, and mobile agent just can carry out reconstruct adaptively according to the variation of ambient condition and make a strategic decision.Wherein reconstruct decision-making is to be accomplished by three functional modules of mobile agent to comprise and constitute knowledge base, knowledge manager and reconstruct trigger.Specifically realize like Fig. 1.Get into implementation after successfully getting access to the application code that needs when sensor node, gather new data and be transferred to aggregation node and carry out polymerization, like Fig. 2 through mobile agent.Specific practice is to use trusts the behavior that comes evaluation node, and instructs the polymerization of data with it.Each node is after accomplishing alternately, and node all can be assessed this mutual behavior each other, and the result who obtains is called the local trust degree.The local trust degree is as initial data, and trust model is advanced in input.The overall confidence level of sensor node, by the local trust degree of other nodes that trading activity took place with it to it, and the overall confidence level of these nodes is calculated.Each node is accomplished after the transaction, all can its local credible kilsyth basalt be upgraded.The data that the sensor node that has only the global trusting degree to reach certain threshold value provides just can be selected and be used for data aggregate, and this mode can be got rid of false data as much as possible to the influence of polymerization value and the agreement of excitation node.
The present invention propose based on agency's adaptive cooperation cognitive method compared with prior art, have following remarkable advantages and beneficial effect:
1) based on the variation of mobile agent wireless sensor network perception ambient conditions at any time, uses reconstruct adaptively.
2) mode based on mobile agent can satisfy the growing application demand of user, and the developer develops new application code at any time as required and they are published on the mobile agent.
3) data transfer mode based on mobile agent has greatly reduced the traffic load in the network.
4) integrated trust management technology can be excluded in it outside raw data acquisition and the transmission through the selecteed chance of node of faith mechanism minimizing malice in the process of data aggregate.
The adaptive cooperation cognitive method based on the agency that the present invention proposes can self adaptation perception changes in environmental conditions and effective recognition malicious node, the agreement of excitation node and carry out data aggregate safely.This method be intended to provide a kind of can perception and the multi-node collaboration mechanism of the safety that changes of adaptive environment, finally solve the cooperation perception problems between each sensor node.
Description of drawings
The functional module of Fig. 1 reconstruct decision-making;
Fig. 2 data are through the transmission course of mobile agent;
Fig. 3 practical implementation process;
Embodiment
Practical implementation process such as Fig. 3 have following characteristic:
Whole wireless sensor network comprises sensor node, mobile agent, environmental data, trust data and application data.
Comprise environment sensing and reconstruct decision phase during practical implementation of the present invention; Code is carried out and the data aggregate stage.
Environment sensing and reconstruct decision phase;
A plurality of mobile agents at first distribute in wireless sensor network.The variation of mobile agent perception surrounding environment at any time; Gather environmental data and reasoning is carried out in the variation of ambient condition according to the domain knowledge in the knowledge base; Judge whether the performed application task of present node is fit to the variation of ambient condition; If incompatible, then use the new application code of sensor node transmission of reconstruct to needs.Otherwise sensor node continues to carry out former application task.Wherein, reconstruct decision-making is accomplished by three functional modules of mobile agent and is comprised and constitute knowledge base, knowledge manager and reconstruct trigger.The domain knowledge of knowledge base storage consumer premise justice.Relation between the application that we need carry out ambient condition and transducer is abstract for knowledge and to use rule-based method be following formula with the representation of knowledge:
R→F(or?IF?R?THEN?F)
Wherein, R is the former piece of formula, representes the environmental condition that this knowledge is relevant, and F is the consequent of formula, expression reconstruct behavior, i.e. the environmental condition lower sensor node application that should provide.Knowledge manager is in charge of knowledge; The user can define domain knowledge and it is left in the knowledge base; Knowledge manager can be used knowledge that the current environment data of gathering are carried out reasoning and obtain the related conclusions that current environment changes, and sends this result to the reconstruct trigger.Whether the application task of the conclusion of the environmental change that reconstruct trigger comparison knowledge manager obtains and the operation of current sensor node matees, and then judges whether to use reconstruct and how to carry out reconstruct.The new application code of sensor node transmission of reconstruct is just used in reconstruct if desired to needs., otherwise continue to keep former application.
Code is carried out and the data aggregate stage:
Get into implementation after successfully getting access to the application code that needs when node, gather new data and be transferred to aggregation node through mobile agent and carry out polymerization.Specific practice is to use trusts the behavior that comes evaluation node, and instructs the polymerization of data with it.Each node is after accomplishing alternately, and node all can be assessed this mutual behavior each other, and the result who obtains is called the local trust degree.The local trust degree is as initial data, and trust model is advanced in input.The overall confidence level of sensor node, by the local trust degree of other nodes that trading activity took place with it to it, and the overall confidence level of these nodes is calculated.Each node is accomplished after the transaction, all can its local credible kilsyth basalt be upgraded.The data that the sensor node that has only the global trusting degree to reach certain threshold value provides just can be selected and be used for data aggregate, and this mode can be got rid of false data as much as possible to the influence of polymerization value and the agreement of excitation node.The overall confidence level computing formula of node is following:
V wherein
xThe overall confidence level of representation node x, S is the set that the node of transaction took place with node x.f
YxBe the local confidence value of node y to node x.w
yBe local confidence level f
YxWeight.The computational process of whole trust adopts the method that repeatedly iterates, up to V
xConverge to a stable value.
What should explain at last is: above embodiment only in order to the explanation the present invention and and unrestricted technical scheme described in the invention; Therefore, although this specification has carried out detailed explanation to the present invention with reference to each above-mentioned embodiment,, those of ordinary skill in the art should be appreciated that still and can make amendment or be equal to replacement the present invention; And all do not break away from the technical scheme and the improvement thereof of the spirit and the scope of invention, and it all should be encompassed in the middle of the claim scope of the present invention.
Claims (3)
- In the radio sensing network based on agency's adaptive cooperation cognitive method; Employing is based on the variation of the mode of acting on behalf of from adaptation perception ambient condition; Judge whether to use reconstruct; And transmit application code to sensor node, and use and trust the behavior that comes the evaluation sensor node, and instruct the polymerization of data with it; It is characterized in that may further comprise the steps:Environment sensing and reconstruct decision phase;The variation of mobile agent perception surrounding environment; Gather environmental data and reasoning is carried out in the variation of ambient condition according to the domain knowledge in the knowledge base; Judge whether the performed application task of present node is fit to the variation of ambient condition; If incompatible, then use the new application code of sensor node transmission of reconstruct to needs.Otherwise sensor node continues to carry out former application taskCode is carried out and the data aggregate stage;Get into implementation after successfully getting access to the application code that needs when node, gather new data and be transferred to aggregation node through mobile agent and carry out polymerization.Use and trust the behavior that comes evaluation node, and instruct the polymerization of data with it.
- 2. based on agency's adaptive cooperation cognitive method, it is characterized in that in the radio sensing network according to claim 1: reconstruct decision-making is accomplished by three functional modules of mobile agent and is comprised and constitute knowledge base, knowledge manager and reconstruct trigger.Can adopt following formula to explain:R→F(or?IF?R?THEN?F)Wherein, R is the former piece of formula, representes the environmental condition that this knowledge is relevant, and F is the consequent of formula, expression reconstruct behavior, i.e. the environmental condition lower sensor node application that should provide.The mobile agent acquisition environmental data also carries out reasoning according to the domain knowledge in the knowledge base to the variation of ambient condition, judges whether current sensor node uses reconstruct.
- 3. based on agency's adaptive cooperation cognitive method, it is characterized in that in the radio sensing network according to claim 1: use and trust the behavior that comes the evaluation sensor node, and instruct the polymerization of data with it.The overall confidence level of sensor node, by the local trust degree of other nodes that trading activity took place with it to it, and the overall confidence level of these nodes is calculated.Can adopt following formula to explain:
V wherein xThe overall confidence level of representation node x, S is the set that the node of transaction took place with node x.f YxBe the local confidence value of node y to node x.w yBe local confidence level f YxWeight.The computational process of whole trust adopts the method that repeatedly iterates, up to V xConverge to a stable value.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106792435A (en) * | 2016-11-23 | 2017-05-31 | 西安电子科技大学 | Data aggregation method based on compressed sensing in a kind of wireless sensor network |
| CN108303910A (en) * | 2018-01-15 | 2018-07-20 | 中山大学 | A kind of population parameter realtime four-dimensional reconstruct collaboration sensing control system |
| US11218368B2 (en) | 2017-06-15 | 2022-01-04 | Telefonaktiebolaget Lm Ericsson (Publ) | Hardware platform based on FPGA partial reconfiguration for wireless communication device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1809012A (en) * | 2006-02-14 | 2006-07-26 | 北京邮电大学 | Wireless sensor network system and method supporting reconstruction of environment adaptive application |
| CN101316279A (en) * | 2008-07-09 | 2008-12-03 | 南京邮电大学 | Subjective interest driven wireless multimedia sensor network design method |
| WO2009059727A1 (en) * | 2007-11-09 | 2009-05-14 | Panasonic Corporation | Route optimization continuity at handover from network-based to host-based mobility |
-
2011
- 2011-10-11 CN CN201110306794.0A patent/CN102404723B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1809012A (en) * | 2006-02-14 | 2006-07-26 | 北京邮电大学 | Wireless sensor network system and method supporting reconstruction of environment adaptive application |
| WO2009059727A1 (en) * | 2007-11-09 | 2009-05-14 | Panasonic Corporation | Route optimization continuity at handover from network-based to host-based mobility |
| CN101316279A (en) * | 2008-07-09 | 2008-12-03 | 南京邮电大学 | Subjective interest driven wireless multimedia sensor network design method |
Non-Patent Citations (1)
| Title |
|---|
| 金兰芳: "JXTA平台下基于信誉的对等网信任模型研究", 《信息科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106792435A (en) * | 2016-11-23 | 2017-05-31 | 西安电子科技大学 | Data aggregation method based on compressed sensing in a kind of wireless sensor network |
| CN106792435B (en) * | 2016-11-23 | 2019-11-26 | 西安电子科技大学 | Compressed sensing based data aggregation method in a kind of wireless sensor network |
| US11218368B2 (en) | 2017-06-15 | 2022-01-04 | Telefonaktiebolaget Lm Ericsson (Publ) | Hardware platform based on FPGA partial reconfiguration for wireless communication device |
| US11563634B2 (en) | 2017-06-15 | 2023-01-24 | Telefonaktiebolaget Lm Ericsson (Publ) | Hardware platform based on FPGA partial reconfiguration for wireless communication device |
| CN108303910A (en) * | 2018-01-15 | 2018-07-20 | 中山大学 | A kind of population parameter realtime four-dimensional reconstruct collaboration sensing control system |
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