CPF-EDAS:无线传感器网络中一种基于簇势场的高效数据融合策略

摘要

为了增强无线传感器网络中数据的融合效率,降低节点的能耗,延长网络的寿命,提出一种基于簇势场的高效数据融合策略(CPF-EDAS).提出的策略是在簇内引入序列势场和在簇头与sink之间引入混合势场来进行数据融合,且簇头根据其局部信息快速构建路线.实验结果表明CPF-EDAS的性能明显优于DP.该方案不但适用于静态路由,且适合火灾监测等动态环境,具有更好的扩展性,可用于各种大规模的无线传感器网络.%To make data aggregation more efficiently, reduce the energy consumption of nodes, maximize the life of the entire network, this paper presented an effective data aggregation scheme based on potential field of clustering in WSN. It introduced potential field into the cluster and hybrid potential field between the gink and cluster heads(CH) to aggregate data. What' s more, CH could make full use of the local information to make the routing decisions rapidly. Hie experimental results show that the performance of CPF-EDAS is much better than DP. It adapts to both data gathering and event-based applications effi-ciently , can be stronger scalable and fit kinds of large wireless sensor networks.