RSS-based Monte Carlo Nodes Localization in Wireless Ad Hoc Networks

摘要：

The availability of wireless devices and their increasing ability of sharing information has stimulated the emergence of the wireless ad hoc networks. Localization is a fundamental problem that needs to be solved with the best possible accuracy and efficiency. This paper proposes an RSS-based Monte Carlo Localization scheme to sequentially estimate the location of mobile nodes, using the log-normal statistical model of RSS measurement. We treat the RSS measurement as the observation model in Monte Carlo method and the mobility feature of nodes as the transition model. Simulation results about localization accuracy and cost show that our scheme is better than other methods.

作者: Qin Yu Weidong Wang Zhiguang Qin Yuming Mao Juebang Yu

作者单位: School of Communication and Information Engineering, University of Electronic Science and Technology School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu School of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China

会议类型: 国际会议

会议名称: 2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

会议地点: 成都

会议语种:英文

页码: 217-221

在线出版日期: 2009-07-23（万方平台首次上网日期，不代表论文的发表时间）