基于能量优化的WSN数据收集和融合算法

针对WSN路由协议LEACH中簇头负载过重的问题,提出一种改进的数据收集和融合算法LEACH-E,在簇的建立阶段根据节点的剩余能量及相对距离选择簇头;在通信阶段,运用主成分分析法对簇头收到的数据进行降维处理,再将融合后的数据沿着蚁群算法找到的最优路径以多跳方式发送给基站。仿真结果表明,该算法在均匀分簇、均衡节点能耗、延长网络生命等方面有更好的性能。

A data gathering and fusion algorithm based on energy optimization for WSN

To solve the overloading problem of cluster head in LEACH,an improved data gathering and fusion algorithm named LEACH-E is proposed.In the stage of establishing cluster,the selection of cluster heads takes into account the residual energy and their relative distance.In the communication phase,the cluster heads make data fusion first by the principal components analysis method for dimensionality reduction,and then transmit the data along the optimal path searched by the ant colony algorithm to the base station in multi-hop manner.The simulation results show that,compared with the LEACH,the LEACH-E performs much better in the aspects of the uniform clustering,energy balancing,and lifetime prolonging.