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...

Full description

Saved in:

Bibliographic Details
Published in:	Wireless personal communications Vol. 114; no. 1; pp. 167 - 184
Main Authors:	Lv, Yongyang, Liu, Wenju, Wang, Ze, Zhang, Zhihao
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2020 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!