Title: Wireless optimisation positioning algorithm with the support of node deployment

Authors: Xudong Yang; Chengming Luo; Luxue Wang; Hao Liu; Lingli Zhang

Addresses: Automation College, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China ' Ocean College, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China ' Automation College, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China ' Automation College, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China ' Automation College, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China

Abstract: Position is one of the basic attributes of an object, which is one of the key technologies for its collaborative operation. As a distributed sensing method, wireless sensor networks (WSNs) have become a feasible solution especially in satellite signal denied environments. Considering that the node deployment is the basis of target positioning in WSNs, this paper first researches optimal deployment of wireless nodes, and then researches the optimal positioning of mobile targets. Based on the least squares equation, a feature matrix that can characterise the positioning error is derived so that the positioning error caused by wireless node deployment is minimised. Following that, the positioning results are refined by particle swarm optimisation, which makes the mobile target have a coarse to fine accuracy. The results indicate that the proposed algorithm can reduce the influence of network topology on positioning error, which is critical for some location-based applications.

Keywords: distributed sensing; wireless positioning; node deployment; matrix eigenvalues; particle swarm.

DOI: 10.1504/IJCSE.2024.136247

International Journal of Computational Science and Engineering, 2024 Vol.27 No.1, pp.20 - 27

Received: 29 Apr 2022
Received in revised form: 15 Jun 2022
Accepted: 12 Jul 2022
Published online: 25 Jan 2024 *

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