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Improvement of Positioning Technology Based on RSSI in ZigBee Networks

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Abstract

In this paper, the node localization methods of ZigBee wireless sensor networks were studied. There are two key issues affecting the positioning accuracy: accuracy of RSSI value and optimization of localization algorithm. For the first issue, the effects of two kinds of environmental disturbance on RSSI values were analyzed, and then RSSI values were pretreated using Kalman filter. For the second, the RSSI-based localization algorithm were introduced in detail, and a new algorithm-triangle centroid localization algorithm based on weighted feature points-was proposed. MATLAB simulation and actual network tests were carried out. The simulation and experimental results all showed that our pretreatment strategy of RSSI and optimization of localization algorithm had great effects on positioning accuracy.

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Acknowledgements

The authors would like to thank the Natural Science Foundation Program of Inner Mongolia (2015MS0632) and the Inner Mongolia Autonomous Region Science and Technology Plan Project (20140712) for financial support.

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Authors and Affiliations

  1. College of Computer and Information Engineering, Inner Mongolia Normal University, Hohhot, 010022, China

    Zong-zuo Yu & Gai-zhi Guo

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  1. Zong-zuo Yu
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  2. Gai-zhi Guo
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Correspondence to Zong-zuo Yu.

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Yu, Zz., Guo, Gz. Improvement of Positioning Technology Based on RSSI in ZigBee Networks. Wireless Pers Commun 95, 1943–1962 (2017). https://doi.org/10.1007/s11277-016-3860-1

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