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作 者:张朝霞[1] 蒋勇[1] 李丽霞[1] 罗智勇[1]
出 处:《科学技术创新》2021年第30期93-95,共3页Scientific and Technological Innovation
基 金:湖南省教育厅科学研究项目(17C0552)。
摘 要:针对现有关于无线传感器网络的信号重构算法的研究多集中于对同类算法进行改进,提出基于多目标进化的无线传感器网络信号重构算法。主要从簇头节点个数、分簇空间分布、节点剩余能量和总能耗四个方面给出无线传感器网络中分簇信号重构算法性能评价和分析方法,并基于LEACH算法进行性能仿真。实验仿真结果显示,基于多目标进化的信号重构算法能给出较优的分簇信号重构方案,提高无线传感器网络的生存时间。In view of the existing studies on clustering signal reconstruction algorithms of wireless sensor networks,a novel clustering signal reconstruction algorithm performance analysis method based on multi-objective evolution is proposed.In this paper,performance evaluation and analysis methods of clustering signal reconstruction algorithm in wireless sensor networks are presented from four aspects:number of cluster-head nodes,spatial distribution of clustering,residual energy of nodes and total energy consumption.Firstly,the optimal clustering scheme is given by means of population initialization,selection,crossover and mutation,and the specific parameters for engineering practice are given.Then,taking LEACH algorithm as an example,the performance of LEACH algorithm is analyzed with the parameters obtained by the method in this paper.Experiment simulation results show that the proposed method can give the optimal clustering signal reconstruction scheme,and prolong the lifetime of wireless sensor networks.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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