Localization based on magnetic and RSS data fusion with covariance intersection for mobile sensor network

Ren C. Luo, Wei Lung Hsu, Ogst Chen, Shau Ku Huang

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

A mobile sensor node plays an important role in wireless sensor network. Not only can it replace a failed sensor node dynamically and automatically, but also can search the dangerous region autonomously. To keep mobile node in continuously working condition, power supply is an important issue. For this reason, docking for the mobile node is an important issue in mobile sensor network. How to guide it to anchor the docking station and recharge successfully is a key element for stable and long-term usages. In this paper we propose Covariance Intersection (CI) to fuse the localization estimation obtained from RSS (received signal strength) and magnetic localization together in order to dock mobile node accurately. Moreover a docking station with an auto-recharging device and mobile node docking mechanism are implemented. Nevertheless, the localization estimation error of RSS is 4 times larger than magnetic localization in short range usage while the docking process. This paper brings out a reliable algorithm through CI data fusion method to fuse the RSS and the magnetic localization estimations. Our experimental results show that error can be reduced less than 5%. Besides, the docking control strategy and automatic recharging device for the mobile node also will be proposed.

原文英語
主出版物標題2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
DOIs
出版狀態已發佈 - 2007
事件2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM - Zurich, 瑞士
持續時間: 9月 4 20079月 7 2007

出版系列

名字IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

其他

其他2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
國家/地區瑞士
城市Zurich
期間9/4/079/7/07

ASJC Scopus subject areas

  • 軟體
  • 電氣與電子工程
  • 控制與系統工程
  • 電腦科學應用

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