摘要
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.
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 obj ective function is presented by the node remaining energy and distance information,and the obj ective 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.Com-pare to performance of other algorithm,the results show that,CHAB has better adaptability.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2014年第2期282-286,共5页
Journal of Sichuan University(Natural Science Edition)
基金
浙江省自然科学基金(y1080023)
关键词
无线传感器网络
簇首
剩余能量
距离
人工蜂群
Wireless sensor network
Cluster header
Remaining energy
Distance
Artificial bee