Improvement of Positioning Technology Based on RSSI in ZigBee Networks

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...

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Bibliographic Details
Published in:Wireless personal communications 2017-08, Vol.95 (3), p.1943-1962
Main Authors: Yu, Zong-zuo, Guo, Gai-zhi
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Communications Engineering
Computer Communication Networks
Computer simulation
Engineering
Localization
Networks
Optimization
Pretreatment
Remote sensors
Signal,Image and Speech Processing
Wireless sensor networks
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Summary: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.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-016-3860-1