基于布谷鸟搜索的混合传感器网络覆盖优化策略  

Hybrid Sensor Network Coverage Optimization Strategy Based on Cuckoo Search

作　　者：向庭立 王红军 史英春 XIANG Tingli;WANG Hongjun;SHI Yingchun(College of Electronic Countermeasure,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]国防科技大学电子对抗学院

出　　处：《计算机工程》2019年第12期79-85,共7页Computer Engineering

基　　金：国家自然科学基金(61273302)

摘　　要：静态传感器网络与移动传感器网络分别存在网络覆盖率较低和部署成本高的问题。为此,在混合传感器网络基础上,提出一种基于布谷鸟搜索(CS)的覆盖优化策略。将混合传感器节点随机部署在目标区域,利用CS算法初步确定移动传感器节点的候选目标位置,通过位置优化方案得到移动传感器节点的最佳目标位置以完成覆盖优化。仿真结果表明,与遗传算法和粒子群优化算法相比,该优化策略能够有效缩短平均移动距离,减少移动节点数量,提高目标区域覆盖率。In view of the low network coverage of static sensor network and the high deployment cost of the mobile sensor network,this paper focus on the hybrid sensor network and proposes a coverage optimization strategy based on Cuckoo Search(CS).First,this paper randomly deploys the hybrid sensor networks in the target area.Then,with CS algorithm,the candidate target position of the mobile sensor node is initially determined.At last,this paper confirms the best target position of the mobile sensor node through the location optimization scheme,thus completing the coverage optimization.Simulation results show that compared with genetic algorithm and Particle Swarm Optimization(PSO)algorithm,the proposed strategy can effectively shorten the average moving distance,reduce mobile node number and improve the coverage of the target area.

关 键 词：无线传感器网络 混合传感器网络 布谷鸟搜索 覆盖优化 移动节点 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]