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无线传感网络(WSN,Wireless Sensor Network)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,ActivityAware Clustering Protocol),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-aware and Energy Balanced Routing Protocol).仿真实验中与低功耗自适应集簇分层型协议(LEACH,Low Energy Adaptive Clustering Hierarchy)、基于跟踪的动态节点分簇算法(HCMTT,Hybrid Clustering for Multitarget Tracking in wireless sensor networks)和传感器信息系统中的高能效采集算法(PEGASIS,Power Efficient Gathering in Sensor Information System)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.
Node triggering and data transmission in Wireless Sensor Network (WSN) tend to present some activity patterns. Based on the activity pattern characteristics, an activity-based node clustering algorithm (AACP) is proposed, Sensor node is divided into several active clusters, and the historical triggering data of the nodes are analyzed, and the current activities are predicted according to the clustering results.According to the activity prediction results, the energy balance, the residual energy of the nodes, the energy consumption of transmission and so on (WSN) routing algorithm (AEBRP, Activity-aware and Energy Balanced Routing Protocol), which is based on activity prediction and energy consumption equalization, is proposed in this paper.Compared with Low Energy Adaptive Clustering Hierarchical Protocols (LEACH, Low Energy Adaptive (Clustering Hierarchy), Hybrid Clustering for Multitarget Tracking in Wireless Sensor networks (HCMTT) and Power Efficient Gathering in Sensor Information System (PEGASIS) AEBRP algorithm to maintain a balanced network energy consumption, Long life cycle network has obvious advantages.