基于人工蜂群的无线传感器网络分簇规划方法

针对无线传感器网络中簇首节点规划的问题,本文在以前的研究基础上提出了一种新的刻画模型CHAB(Cluster Header planning model based on Artificial Bee colony).该模型首先结合节点剩余能量和距离信息建立了最优目标函数,同时利用人工蜂群算法和小波变换对目标函数进行求解.最后,利用NS2和Matlab进行仿真实验,深入研究了影响该模型的关键因素,并对比分析了与其它模型之间的性能优劣,结果表明CHAB具有较好的适应性.

Clustering planning method based on artificial bee in wireless sensor network

In order to mitigate the cluster header planning problem in wireless sensor network, a novel model CHAB(Cluster Header planning model based on Artificial Bee colony) is proposed by previous studies. In this model, the optimization objective function is presented by the node remaining energy and distance information, and the objective function is solved with artificial bee colony algorithm and wavelet transform. Finally, a simulation was conducted to study the key factors with NS2 and MATLAB. Compare to performance of other algorithm, the results show that, CHAB has better adaptability.