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基于移动Agent的分布式传感器网络数据融合理论与算法研究
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摘要
本课题来源于国家自然科学基金基于移动Agent的分布式传感器网络数据融合理论与算法研究项目。课题以分布式传感器网络(DSN)为研究方向。同时课题研究利用移动Agent本身具有的分布式计算的性质,以移动Agent技术为出发点来研究分布式传感器网络的信息融合技术:
     首先,课题针对基于C/S的分布式传感器网络模型和基于移动Agent的分布式传感器网络模型进行了模型建立与分析,从数据迁移生命周期、数据处理的执行时间和能量消耗三方面对两种模型进行了比较。
     其次,对分布式传感器网络数据融合算法进行研究与改进,提出了基于移动Agent的分布式传感器网络多分辨率分析数据融合算法,并在多Agent开发平台JADE上搭建基于移动Agent的无线传感器网络开发平台和对融合算法进行了仿真计算。
     再次,设计并编码实现了一种可以用于无线传感器网络中的基于移动Agent数据融合中间件,它可以完全在TinyOS环境中运行,并通过在Genomote节点组成的网络上进行部署、测试和实验,验证了中间件的有效性。
     最后,完成了无线传感器网络教学平台系统的软件设计与编码实现,此软件实现的功能和应用对于进行分布式传感器网络的教学与科研具有非常实际的意义。
The research is supported by the National Natural Science Foundation projectMobile-Agent-BasedDistributed Sensor Network Data Fusion Theory and AlgorithmResearchProject. It takes distributedsensornetwork(DSN)astheresearchtheme.Atthesame time, taking advantage of mobile Agent inherent characteristics of distributedcomputing, the research aims to study information fusion technology on distributedsensornetworkfromthedirectionofmobileAgenttechnology:
     First of all, the paper compares the client/server(C/S) based and mobile agent baseddistributed sensor network data fusion model from three aspects: the life cycle of datamigration,executiontimeandenergyconsumptionmodel.
     Secondly, the paper researches and improves the distributed sensor network datafusion algorithm, and put forward a new mobile-agent-based multiresolution integration(MRI) algorithm .Then build a mobile agent based wireless sensor network developmentplatform on the multi agent technology IDE JADE, and conduct algorithm simulationcalculation.
     Thirdly,thepaperpresentsamiddlewaretorealizemobile-agent-baseddatafusiononwireless sensor networks,which is implemented entirelyin TinyOS and has been testedon Genomote motes. Experiments are conducted in the environmental temperatureinspection scenario using wireless sensor networks to evaluate the performances of ourmobile-agent-basedmiddleware.
     Finally, design and code a wireless sensor network experiment platform softwaresystem , which has verypractical significance on distributed sensor networks technologyresearch、teachandstudywork.
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