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Node Localization Based on Improved PSO and Mobile Nodes for Environmental Monitoring WSNs

机译:基于改进的PSO和移动节点的环境监测WSN的节点定位

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摘要

In this paper, a novel iterative localization algorithm based on improved particle swarm optimization (PSO) is proposed for monitoring environment like lakes, rivers or other water bodies. The first step of this algorithm is to get the position of some unknown nodes by using improved PSO algorithm. The second step is to locate other nodes by using these unknown nodes in first step as new anchor nodes. The localization problem of island node in sparse distributed grid is solved by introducing adaptive mobile node in this paper. The simulation results show that the algorithm has the advantages of small location error and little influence by environmental factors.
机译:本文提出了一种基于改进粒子群算法(PSO)的迭代迭代定位算法,用于监测湖泊,河流或其他水体的环境。该算法的第一步是通过使用改进的PSO算法获得一些未知节点的位置。第二步是通过使用第一步中的这些未知节点作为新的锚点节点来定位其他节点。通过引入自适应移动节点,解决了稀疏分布网格中岛节点的定位问题。仿真结果表明,该算法具有定位误差小,受环境因素影响小的优点。

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  • 作者单位

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks;

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks;

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications;

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks;

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Localization algorithm; Wireless sensor networks (WSNs); Particle swarm optimization (PSO); Environment monitoring;

    机译:定位算法;无线传感器网络(WSN);微粒群优化(PSO);环境监控;

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