Vote selection mechanisms and probabilistic data association-based mobile node localization algorithm in mixed LOS/NLOS environments

Nan Hu (), Chengdong Wu, Pengda Liu (), Hao Wu, Boya Wu and Long Cheng
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Nan Hu: Northeastern University
Chengdong Wu: Northeastern University
Pengda Liu: Northeastern University
Hao Wu: University of Sydney
Boya Wu: Dalian Maritime University
Long Cheng: Northeastern University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 62, issue 4, No 2, 655 pages

Abstract: Abstract As one of the key technologies of wireless sensor networks (WSNs), the localization of mobile nodes (MN) is one of the most significant research topics in WSNs. When a line-of-sight (LOS) channel is available, accuracy localization result can be obtained. Motivated by the fact that the non-line-of-sight (NLOS) propagation of signal is ubiquitous and decreases the accuracy of localization, we propose a MN localization algorithm in mixed LOS/NLOS environments. Considering the characteristics of NLOS error, we propose a localization algorithm based on vote selection mechanisms to filter the distance measurements and reserve the reliable measurements. Then a modified probabilistic data association algorithm is proposed to fuse the multiple measurements reserved from the vote selection. The position of the MN is finally determined by a linear least squares algorithm based on reference nodes selection. This algorithm effectively mitigates various kinds of NLOS errors and largely improves the localization accuracy of the MN in mixed LOS/NLOS environments. The simulation and experiments results show that the proposed algorithm has better robustness and higher localization accuracy than other methods.

Keywords: Wireless sensor networks; Non-line-of-sight; Localization; Vote mechanisms; Probabilistic data association (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11235-015-0100-z

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