北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2015, Vol. 38 ›› Issue (5): 62-65.doi: 10.13190/j.jbupt.2015.05.011

• 论文 • 上一篇    下一篇

基于瑞利信道的无线传感网随机k覆盖问题

康琳1,2, 张英海1, 李金兰1, 李秀华1, 王卫东1   

  1. 1. 北京邮电大学 电子工程学院, 北京 100876;
    2. 太原科技大学 电子信息工程学院, 太原 030024
  • 收稿日期:2015-01-05 出版日期:2015-10-28 发布日期:2015-10-28
  • 作者简介:康琳(1981—),女,博士生,E-mail:kanglinfeb@aliyun.com;张英海(1951—),男,教授,博士生导师.
  • 基金资助:

    国家自然科学基金项目(61271186)

Stochastic k Coverage in Rayleigh Fading Channel

KANG Lin1,2, ZHANG Ying-hai1, LI Jin-lan1, LI Xiu-hua1, WANG Wei-dong1   

  1. 1. Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Department of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
  • Received:2015-01-05 Online:2015-10-28 Published:2015-10-28

摘要:

针对描述密集传感器网络k覆盖问题感知模型的不足,结合传感器节点空间分布的泊松点特征及信道传输特性,采用积分几何集合相交的方法,提出了一种基于瑞利信道的传感器网络节点覆盖测度模型,并推导了网络k覆盖概率及达到k覆盖所需的节点密度. 通过仿真实验分析了信道参数对k覆盖概率的影响,验证了测度模型的正确性.

关键词: 随机k覆盖, 密集传感器网络, 瑞利衰落

Abstract:

A new coverage measure model in dense wireless sensor network was proposed in Rayleigh fading channel, which is more suitable to the actual transmit environment compared to existing sensing models. The spatial distribution of sensors are modeled as a Poisson point process, and the Rayleigh fading channel is adopted as the propagation channel. Through the set intersection algorithm from integral geometry, the coverage measure for k-coverage was achieved, the probability for k-coverage and the node density guaranteeing k-coverage were derived. Simulations demonstrate the influence of channel parameters and validate the correctness of the coverage measure model.

Key words: stochastic k coverage, dense wireless sensor network, Rayleigh fading

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