A Collaborative Method for the Localization of Wireless Sensor Network
Accurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. This paper presents a new method for the localization of a Wireless Sensor Network (WSN) by means of collaboration with a robot, using both Monte Carlo and Kalman Filtering techniques. The proposed methods are demonstrated in a laboratory environment where stationary camera nodes self-localized in realtime by observing Pioneer robots moving about within their field of view. The robots take observations of surveyed beacons in the environment and provide estimates of their poses to the rest of the network. The paper includes several implementation aspects and experimental results.
Wireless Sensor Network Sensor Localization Filtering Techniques
Zhang Yong Wang Li
Institute of Information Tianjin University of Commerce, Tianjin 300134, China Institute of Information Hebei University of Technology, Tianjin 300130, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4596-4600
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）