RESEARCH ARTICLE


A Non-Parametric Propagation Condition Identification Method and Non-Line of Sight Mitigation Algorithm for Wireless Sensor Network



Hao Chu*, Cheng-dong Wu
School of Information Science and Engineering, Northeastern University, Wenhua Street, Shenyang, Liaoning, 110819, China


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© Chu and Wu; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the School of Information Science and Engineering, Northeastern University, Wenhua Street, Shenyang, Liaoning, 110819, China; Tel: 086-13940409466; E-mail: chuhao_neu@163.com


Abstract

The wireless sensor network (WSN) has received increasing attention since it has many potential applications such as the internet of things and smart city. The localization technology is critical for the application of the WSN. The obstacles induce the larger non-line of sight (NLOS) error and it may decrease the localization accuracy. In this paper, we mainly investigate the non-line of sight localization problem for WSN. Firstly, the Pearson's chi-squared testing is employed to identify the propagation condition. Secondly, the particle swarm optimization based localization method is proposed to estimate the position of unknown node. Finally the simulation experiments are implemented. The simulation results show that the proposed method owns higher localization accuracy when compared with other two methods.

Keywords: Localization, Non-line of sight, Oearson's chi-squared testing, Propagation condition identification, Wireless sensor network.