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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

28.10.2016

Improvement of Positioning Technology Based on RSSI in ZigBee Networks

verfasst von: Zong-zuo Yu, Gai-zhi Guo

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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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.
Vorheriger Artikel Performance Optimization Based on Compressive Sensing for Wireless Sensor Networks
Nächster Artikel A New Equalization Algorithms for Distortion Signal Extraction in Mobile Wireless System

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Metadaten
Titel
Improvement of Positioning Technology Based on RSSI in ZigBee Networks
verfasst von
Zong-zuo Yu
Gai-zhi Guo
Publikationsdatum
28.10.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3860-1

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