PMDV-hop: An effective range-free 3D localization scheme based on the particle swarm optimization in wireless sensor network

• Wenjuan Wang,
• Yuwang Yang,
• Lei Wang,
• Wei Lu,

Vol. 12, No. 1, January 30, 2018
10.3837/tiis.2018.01.004, Download Paper (Free):

• Range-free localization
• sensitivity of parameters
• improved algorithm
• intelligent optimization algorithms.

Abstract

Location information of individual nodes is important in the implementation of necessary network functions. While extensive studies focus on localization techniques in 2D space, few approaches have been proposed for 3D positioning, which brings the location closer to the reality with more complex calculation consumptions for high accuracy. In this paper, an effective range-free localization scheme is proposed for 3D space localization, and the sensitivity of parameters is evaluated. Firstly, we present an improved algorithm (MDV-Hop), that the average distance per hop of the anchor nodes is calculated by root-mean-square error (RMSE), and is dynamically corrected in groups with the weighted RMSE based on group hops. For more improvement in accuracy, we expand particle swarm optimization (PSO) of intelligent optimization algorithms to MDV-Hop localization algorithm, called PMDV-hop, in which the parameters (inertia weight and trust coefficient) in PSO are calculated dynamically. Secondly, the effect of various localization parameters affecting the PMDV-hop performance is also present. The simulation results show that PMDV-hop performs better in positioning accuracy with limited energy.

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