NDLI: Energy-Based Localization in Wireless Sensor Networks Using Second-Order Cone Programming Relaxation

Content Provider	Springer Nature Link
Author	Beko, Marko
Copyright Year	2014
Abstract	Source localization in wireless sensor networks (WSNs) aims to determine the position of a source in a network, given inaccurate position-bearing measurements. This paper addresses the problem of locating a single source from noisy acoustic energy measurements in WSNs. Under the assumption of Gaussian energy measurement errors, the maximum likelihood (ML) estimator requires the minimization of a nonlinear and nonconvex cost function which may have multiple local optima, thus making the search for the globally optimal solution hard. In this work, an approximate solution to the ML location estimation problem is presented by relaxing the minimization problem to a convex optimization problem, namely second-order cone programming. Simulation results demonstrate the superior performance of the convex relaxation approach. More precisely, the new approach shows an improvement of 20 % in terms of localization accuracy when compared to the existing approaches at moderate to high noise levels. Simulation results further show comparable performance of the new approach and the state-of-art approaches at low noise levels.
Starting Page	1847
Ending Page	1857
Page Count	11
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	77
Issue Number	3
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2014-02-02
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Energy-based localization Wireless sensor networks Maximum likelihood estimation Nonconvex optimization Second-order cone programming (SOCP) Semidefinite programming (SDP) Noncooperative localization Centralized localization Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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