On energy-based localization in wireless sensor networks

Author

Beko, Marko

Author_Institution

Univ. Lusofona de Humanidades e Tecnol., Lisbon, Portugal

fYear

2011

fDate

26-29 June 2011

Firstpage

131

Lastpage

135

Abstract

In this paper, the energy-based localization problem in wireless sensor networks is addressed. The maximum likelihood (ML) location estimation problem is a difficult optimization problem due to the non-convexity of the objective function, and an exact solution is difficult to obtain. An approximate solution to the ML problem is proposed, by relaxing the minimization problem into semidefinite programming form. Simulation results show that the proposed algorithm outperforms the existing solutions.

Keywords

approximation theory; mathematical programming; maximum likelihood estimation; sensor placement; wireless sensor networks; ML problem; energy-based localization problem; maximum likelihood location estimation problem; minimization problem; objective function nonconvexity; optimization problem; semidefinite programming; wireless sensor network; Convex functions; Minimization; Noise level; Optimization; Position measurement; Wireless sensor networks; Semidefinite relaxation; Sensor networks; Source localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications (SPAWC), 2011 IEEE 12th International Workshop on

Conference_Location

San Francisco, CA

ISSN

1948-3244

Print_ISBN

978-1-4244-9333-3

Electronic_ISBN

1948-3244

Type

conf

DOI

10.1109/SPAWC.2011.5990379

Filename

5990379