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应用科学学报 ›› 2012, Vol. 30 ›› Issue (2): 120-127.doi: 10.3969/j.issn.0255-8297.2012.02.003

• 论文 • 上一篇    下一篇

无线传感器网络中的协作波纹定位

张金艺1;3， 段苏阳1， 吴玉见1， 王春华1， 丁梦玲2   

  1. 1. 上海大学特种光纤与光接入网省部共建教育部重点实验室，上海200072
    2. 上海大学微电子研究与开发中心，上海200072
    3. 上海大学教育部新型显示与系统应用重点实验室，上海200072
  • 收稿日期:2011-05-04 修回日期:2011-07-11 出版日期:2012-03-26 发布日期:2012-03-30
  • 通信作者: 张金艺，研究员，研究方向：通信类SoC设计与无线传感器网络，E-mail: zhangjinyi@staff.shu.edu.cn
  • 作者简介:张金艺，研究员，研究方向：通信类SoC设计与无线传感器网络，E-mail: zhangjinyi@staff.shu.edu.cn
  • 基金资助:

    上海市教委重点学科项目基金(No.J50104)；上海市科委项目基金(No.08706201000, No.08700741000) 资助

Localization of Collaboration Ripples in Wireless Sensor Network

ZHANG Jin-yi1;3, DUAN Su-yang1, WU Yu-jian1, WANG Chun-hua1, DING Meng-ling2   

  1. 1. Key Laboratory of Special Fiber Optics and Optical Access Networks, Ministry of Education,
    Shanghai University, Shanghai 200072, China
    2. Microelectronic Research and Development Center, Shanghai University, Shanghai 200072, China
    3. Key Laboratory of Advanced Displays and System Application, Ministry of Education,
    Shanghai University, Shanghai 200072, China
  • Received:2011-05-04 Revised:2011-07-11 Online:2012-03-26 Published:2012-03-30

PDF

1210

被引次数

5

摘要：

随着无线传感网定位技术的发展，高精度、大范围、低代价成为无线传感器网络定位技术的研究热点.文中提出一种用于无线传感网定位的协作波纹算法，侧重于对多节点实现快速精确定位. 首先以更合理的网络布局研究为基础，设计一种可以拼接的网络拓扑结构；其次利用节点协作的方式感知网络环境，降低定位误差；最后利用波纹定位的方式对节点进行两轮定位，从而实现网络区域内的高精度定位. 仿真实验表明，网络的锚节点节省率可达3.20%，定位精度提升了20.00%，进而充分证明了协作波纹算法的有效性与合理性.

关键词: 无线传感器网络, 定位, 高精度, 网络拓扑划分, 协作波纹算法

Abstract:

This paper proposes a collaboration ripple algorithm for high accuracy, large range and low cost localization of large scale nodes in a wireless sensor network (WSN). A splicing network topology is designed based on a rational network topology research. Location error is reduced with collaboration among the nodes. The ripple algorithm is applied to locate unknown nodes in a unit cell to realize accurate localization of
neighboring notes. Verification of the algorithm shows that the collaboration ripple location algorithm can reduce anchor nodes by 3.20%, and improve precision by 20.00%, indicating effectiveness of the proposed algorithm.

Key words: wireless sensor network (WSN), localization, high accuracy, network topology divide, collaboration ripple localization algorithm

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