The Research of RSSI Based Self-localization Algorithm for Self-healing Minefield

摘要：

Self-healing minefields node self-localization is an interesting topic due to its relationship with goal-observing and network-rebuilding. We propose a scheme to perform localization, which based on estimation of signal strength received. In order to improve localization accuracy, we analyze the model of radio propagation environments channels in complex environment and propose a weighted centroid localization algorithm. It achieves lower computational and hardware cost and fewer communication consumption. The result of emulating shows it has higher accuracy than maximum likelihood estimation and can be applied to self-localization of minefield nodes.

关键词： self-healing minefield weighted centroid localization algorithm beacon nodes RSSI

作者: SHEN Xian-hao SHI Geng-chen

作者单位: State Key Laboratory of Mechatronic Engineering & Control Engineering Beijing Institute of Technology Department of Mechatronic Engineering, Beijing Institute of Technology, Beijing, 100081

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）