系统仿真学报 ›› 2018, Vol. 30 ›› Issue (5): 1885-1892.doi: 10.16182/j.issn1004731x.joss.201805034

• 仿真应用工程 • 上一篇    下一篇

动态节点定位过程中锚节点的自适应移动方案

周非, 刘文楠   

  1. 光通信与网络重点实验室,重庆邮电大学,重庆 400065
  • 收稿日期:2016-07-04 修回日期:2016-08-24 出版日期:2018-05-08 发布日期:2019-01-03
  • 作者简介:周非(1977-),男,湖北浠水,博士,教授,研究方向为无线定位、信号处理、网络安全及图像处理;刘文楠(1991-),女,河北邢台,硕士,研究方向为无线定位。
  • 基金资助:
    国家自然科学基金(61471077),重庆市教委科学技术研究项目(KJ1400413)

Anchor Adaptive Movement Algorithm for Mobile Nodes Localization

Zhou Fei, Liu Wennan   

  1. Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-07-04 Revised:2016-08-24 Online:2018-05-08 Published:2019-01-03

摘要: 移动传感器网络中节点的位置信息是至关重要的。现有的定位方法多是基于MCL (Monte Carlo Localization)进行改进,鲜有对锚节点路径优化的算法。锚节点的随机移动往往造成资源以及能量的浪费。针对这种不足,借鉴节点效益最大化准则对锚节点路径进行优化,实现其自适应移动;在自适应移动的基础上对算法进行改进,采用阈值代替遍历的方法减少了计算量和定位时间;针对自适应移动出现的锚节点聚集的情况,对锚节点进行分区置点,较大程度地对未知节点进行覆盖,提高了未知节点的定位数量

关键词: 移动传感器网络, 节点定位, 锚节点路径优化, 能量节省

Abstract: Location awareness is very important in mobile sensor networks. The existing methods mainly focus on the improvement based on the MCL (Monte Carlo Localization), few of them study the anchor path planning. However, anchors random movement usually causes the waste of energy and resource. Aiming at this deficiency, this paper adopts the grid benefit criterion and achieves anchors adaptive movement. Threshold instead of traversal method is used to reduce the amount of calculation and positioning time. In order to solve the anchors aggregation problem during adaptive movement, we divide the target area into four subareas and constrain part of the anchors moving in the subarea. By this method we improve the amount of localized unknown nodes obviously.

Key words: mobile sensor networks, localization, anchor path planning, energy-efficient

中图分类号: