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基于改进蜂群算法无线传感器感知节点部署优化


  摘 要:提出了一种基于改进蜂群算法的无线传感器感知节点部署优化方法,以网络覆盖率为目标函数,将传感器感知节点部署问题形式化为组合优化问题,并采用分层机制对基本蜂群算法进行改进。仿真实验结果表明,本方法能够以相对较小的代价完成传感器感知节点部署,并能降低网络能耗,提高网络的整体覆盖率。

  关键词:无线传感器网络; 蜂群优化算法; 节点部署; 组合优化

  中图分类号:TP393文献标志码:A

  文章编号:1001-3695(2010)07-2704-02

  doi:10.3969/j.issn.1001-3695.2010.07.085

  Wireless sensor nodes deployment based on improved swarm optimization algorithm

  YUAN HAO

  (Electronic Commerce & Modern Logisties Key Laboratory, Chongqing University of Posts & Telecommunications, Chongqing 400065, China)

  Abstract: This paper presented an algorithm based on improved swarm optimization method to deploy the nodes, network coverage was the objective function, the deployment of sensor nodes would be formalized as a combinatorial optimization problem, and the basic swarm algorithm had been improved. The simulation results show that the this method can be in the target area with a relatively small cost to complete the distribution of sensor network node is optimized to reduce network energy consumption, improve the network’s overall coverage.

  Key words:wireless sensor networks(WSN); swarm optimization algorithm; node deployment; combinatorial optimization

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