Location estimation using probability map of a ZigBee sensor network

Chia How Lin, Kai-Tai Song

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

For an on-demand robotic system, the location aware module works to provide location information of interested objects and mobile robots. This information supports various intelligent behaviors of a service robot. In this paper, a novel probability-based approach to building up a location aware system is presented. In this approach, the uncertainties and inconsistency normally suffered from received signal strength indicator (RSSI) measurements are handled with minimum prior calibration effort. By taking merely one off-line calibration measurement in a ZigBee sensor network, the inherent problem of signal uncertainty of to-be-localized nodes can be effectively resolved. The proposed RSSI-based algorithm thus has the flexibility in the thus has the flexibility in deployment of sensor nodes in various environments. The proposed algorithm has been verified in several typical environments. Comparison experiments show that the method outperforms existent algorithms in different environments.

原文English
主出版物標題2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings
頁面11-16
頁數6
DOIs
出版狀態Published - 9 九月 2013
事件2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Tainan, Taiwan
持續時間: 3 五月 20132 六月 2013

出版系列

名字2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings

Conference

Conference2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013
國家Taiwan
城市Tainan
期間3/05/132/06/13

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