Title :
Ad-hoc wireless sensor network based underwater diffusive source localization
Author :
Hakim, Kamrul ; Jayaweera, Sudharman K. ; El-Howayek, Georges
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA
Abstract :
In this paper, we develop a statistical method for estimating the location of a diffusive source using an ad-hoc network of wireless sensors capable of sensing a diffusive field/environment. In particular, we focus on an underwater oil spill scenario along with statistical algorithms for analysis of sensor data leading to efficient estimation of the parameters of interest. We derive a maximum likelihood (ML) based parametric estimation method for localizing the diffusive source. The Cramer-Rao lower bound (CRLB) for the ML estimator performance is also derived as a measure of the theoretical performance bound. The effectiveness of the proposed method is also shown through numerical simulations.
Keywords :
ad hoc networks; maximum likelihood estimation; numerical analysis; parameter estimation; underwater acoustic communication; wireless sensor networks; CRLB; Cramer-Rao lower bound; ML estimator performance; ad-hoc wireless sensor network; diffusive field-environment; diffusive source; efficient parameters estimation; maximum likelihood based parametric estimation method; numerical simulations; sensor data leading; statistical algorithms; statistical method; theoretical performance bound; underwater diffusive source localization; underwater oil spill scenario; wireless sensors capable; Equations; Mathematical model; Maximum likelihood estimation; Position measurement; Sensors; Wireless sensor networks;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
DOI :
10.1109/ICIAS.2012.6306087