摘要
随着无线传感器网络研究和应用的发展,城市规模的无线传感器网络开始出现,然而,其大规模、低成本、移动性和节点稀疏性等特性都给定位带来了困难。基于城市移动无线传感器网络的一种典型应用,研究了不依赖全球定位系统的无线传感器网络的定位问题,在曼哈顿环概率移动模型的基础上设计定位算法,并从理论和仿真两方面分析了该算法的收敛性和稳定性。
With the development of the wireless sensor networks, city-wide deployments begin to emerge. However, its charac- teristics, such as large scale, low cost, mobility and sparse topology, bring difficulties and challenges to the localization methods. In this paper, a GPS-free cooperative localization algorithm is proposed,as a solution to the localization demands for typical metropolitan area wireless sensor networks, it takes advantage of the Manhattan Torus probabilistic mobility model. The convergence and stability condition of this algorithm are analyzed by analytical and simulation results.
出处
《电视技术》
北大核心
2010年第11期82-85,89,共5页
Video Engineering
基金
国家"863"计划项目(2009AA11Z1032007AA100408)
国家自然科学基金项目(60672107)
关键词
无线传感器网络
定位算法
传感器节点
概率移动模型
wireless sensor network
localization algorithm
sensor node
probabilistic mobility model
