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Tracking Mobile Robot in Indoor Wireless Sensor Networks

Liping Zhang, Cheng‐Chew Lim, Yiping Chen, Hamid Reza Karimi

发表年份
2014
引用次数
20
访问权限
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摘要

This work addresses the problem of tracking mobile robots in indoor wireless sensor networks (WSNs). Our approach is based on a localization scheme with RSSI (received signal strength indication) which is used widely in WSN. The developed tracking system is designed for continuous estimation of the robot’s trajectory. A WSN, which is composed of many very simple and cheap wireless sensor nodes, is deployed at a specific region of interest. The wireless sensor nodes collect RSSI information sent by mobile robots. A range‐based data fusion scheme is used to estimate the robot’s trajectory. Moreover, a Kalman filter is designed to improve tracking accuracy. Experiments are provided to assess the performance of the proposed scheme.

关键词

Wireless sensor networkMobile robotTracking (education)Real-time computingComputer scienceReceived signal strength indicationKalman filterTrajectoryRobotSensor fusion

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