计算机工程 ›› 2019, Vol. 45 ›› Issue (12): 79-85.doi: 10.19678/j.issn.1000-3428.0053629

• 移动互联与通信技术 • 上一篇    下一篇

基于布谷鸟搜索的混合传感器网络覆盖优化策略

向庭立, 王红军, 史英春   

  1. 国防科技大学 电子对抗学院, 合肥 230037
  • 收稿日期:2019-01-09 修回日期:2019-02-27 发布日期:2019-03-07
  • 作者简介:向庭立(1994-),男,硕士,主研方向为无线传感器网络;王红军(通信作者),教授、博士;史英春,博士。
  • 基金项目:
    国家自然科学基金(61273302)。

Hybrid Sensor Network Coverage Optimization Strategy Based on Cuckoo Search

XIANG Tingli, WANG Hongjun, SHI Yingchun   

  1. College of Electronic Countermeasure, National University of Defense Technology, Hefei 230037, China
  • Received:2019-01-09 Revised:2019-02-27 Published:2019-03-07

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。

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

Abstract: 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.

Key words: Wireless Sensor Network(WSN), hybrid sensor network, Cuckoo Search(CS), coverage optimization, mobile node

中图分类号: