Title: Acoustic energy-based sensor localisation with unknown transmit energy levels

Authors: Jian Zheng; Xiaoping Wu; Liang Chen

Addresses: College of Transport and Communications, Shanghai Maritime University, No. 1550, Haigang Av.Lingang New City, Pudong District, Shanghai, 201306, China ' School of Information Engineering, Zhejiang A&F University, No. 88, City Ring Road, Lin'an City, Zhejiang Province, 311300, China ' Merchant Marine College, Shanghai Maritime University, No. 1550, Haigang Av.Lingang New City, Pudong District, Shanghai, 201306, China

Abstract: When the transmit energy levels are unavailable, semidefinite programming (SDP), mixed second order cone programming and semidefinite programming (SOC/SDP) and the linear least square estimator with source-anchor measurements (LLS-SA) are proposed to estimate the source locations in the wireless sensor networks. The proposed three algorithms avoid the shortcoming of the maximum likelihood (ML) estimator which requires the initial solution guess to ensure the global convergence. The simulations show that the convex optimisation algorithms including the SDP and SOC/SDP provide more robust solutions to the source location estimates compared with the linear estimator of LLS-SA. However, the proposed LLS-SA runs faster than the SDP and SOC/SDP. The accuracy performance of the designed SOC/SDP is similar to that of the SDP, but the complexity of the SOC/SDP is greatly lower than that of the SDP for the same network configuration.

Keywords: WSNs; wireless sensor networks; sensor localisation; acoustic energy-based; convex optimisation.

DOI: 10.1504/IJAHUC.2019.098862

International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.30 No.4, pp.235 - 246

Received: 03 Aug 2016
Accepted: 06 May 2017
Published online: 09 Apr 2019 *

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