WSN Localization Technology Based on Hybrid GA-PSO-BP Algorithm for Indoor Three-Dimensional Space

Positioning accuracy is one of the main challenges in wireless sensor networks. Both the existing localization algorithms and the ranging accuracy need to be improved. This paper demonstrates that the PSO-BP method can effectively estimate the coordinates of mobile nodes in the indoor three-dimensio...

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Veröffentlicht in:	Wireless personal communications Jg. 114; H. 1; S. 167 - 184
Hauptverfasser:	Lv, Yongyang, Liu, Wenju, Wang, Ze, Zhang, Zhihao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2020 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Communications Engineering Computer Communication Networks Computer simulation Convergence Engineering Localization Model accuracy Networks Neural networks Nodes Remote sensors Signal,Image and Speech Processing Wireless networks Wireless sensor networks Genetic algorithm (GA) BP neural network (BPNN) Wireless sensor networks (WSN) Node coordinate estimation Particle swarm optimization (PSO)
ISSN:	0929-6212, 1572-834X
Online-Zugang:	Volltext
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