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Path planning for a group of mobile anchor nodes based on regular triangles in wireless sensor networks

机译:无线传感器网络中基于规则三角形的一组移动锚点的路径规划

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摘要

Localization is one of the fundamental issues in Wireless Sensor Networks (WSNs). Recently, various localization methods have been proposed. However, using single anchor node introduces quite long localization delay. Therefore, the path planning problem of a Group of Mobile Anchor Nodes (GMAN) is studied in this paper. First, two path planning schemes named GSCAN and GTURN are proposed. Both GSCAN and GTURN use three mobile anchor nodes which traverse the entire network following the designed trajectory to help nearby unknown nodes with localization. Furthermore, in order to improve localization ratio of unknown nodes, two boundary strategies are proposed to guarantee that the movement trajectories of anchor nodes can cover the whole WSN. Simulation results show that GSCAN and GTURN can achieve better localization performance than LMAT, RPGM and Ou's in terms of higher localization ratio and lower energy consumption. (C) 2017 Elsevier B.V. All rights reserved.
机译:本地化是无线传感器网络(WSN)的基本问题之一。最近,已经提出了各种定位方法。但是,使用单个锚点节点会引入相当长的定位延迟。因此,本文研究了一组移动锚节点(GMAN)的路径规划问题。首先,提出了两种路径规划方案,分别为GSCAN和GTURN。 GSCAN和GTURN都使用三个移动锚节点,它们按照设计的轨迹遍历整个网络,以帮助附近的未知节点进行定位。此外,为了提高未知节点的定位率,提出了两种边界策略来保证锚节点的运动轨迹可以覆盖整个WSN。仿真结果表明,GSCAN和GTURN在更高的定位比和更低的能耗方面比LMAT,RPGM和Ou可以获得更好的定位性能。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2017年第27期|198-208|共11页
  • 作者单位

    Hohai Univ, Dept Informat & Commun Engn, Changzhou 213022, Peoples R China;

    Hohai Univ, Dept Informat & Commun Engn, Changzhou 213022, Peoples R China;

    Hohai Univ, Dept Informat & Commun Engn, Changzhou 213022, Peoples R China;

    Hohai Univ, Dept Informat & Commun Engn, Changzhou 213022, Peoples R China;

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

    Wireless sensor networks; Localization; Path planning; Boundary strategy;

    机译:无线传感器网络定位路径规划边界策略;

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