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基于活动预测和能耗均衡的WSN路由算法

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Abstract:

无线传感网络(WSN,WirelessSensorNetwork)中节点触发与数据传输往往会呈现出某种活动模式,基于活动模式特性提出了基于活动的节点分簇算法(AACP,Activity-AwareClusteringProtocol),将网络中的传感器节点分成多个活动簇,并通过对节点的历史触发数据进行分析,结合分簇结果对当前发生的活动进行预测.基于活动预测结果,综合能耗均衡、节点剩余能量、传输能耗等影响因素,提出了基于活动预测和能耗均衡的WSN路由算法(AEBRP,Activity-awareandEnergyBalancedRoutingProtocol).仿真实验中与低功耗自适应集簇分层型协议(LEACH,LowEnergyAdaptiveClusteringHierarchy)、基于跟踪的动态节点分簇算法(HCMTT,HybridClusteringforMultitargetTrackinginwirelesssensornetworks)和传感器信息系统中的高能效采集算法(PEGASIS,PowerEfficientGatheringinSensorInformationSystem)进行比较,验证了AEBRP算法在维持网络能耗均衡、延长网络生命周期方面具有明显优势.

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