A Coding and Decoding Scheme for Energy-based Target Localization in Wireless Sensor Networks
Zhenxing Luo, Department of Electrical and Computer Engineering, The University of Alabama at Birmingham, Birmingham, AL, USA.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 1-10 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0869072412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A coding and decoding scheme for energy-based target localization in wireless sensor networks (WSNs) is presented in this paper. This scheme can improve target localziation performance when WSNs are deployed in noisy environments. Simulation results showed that the energy-based target localization method using this coding and decoding scheme could produce better localization performance than the energy-based target localziation method which did not use this scheme. Moreover, the root mean square (RMS) errors given by the proposed method were close to the Cramer-Rao lower bound (CRLB).
Keywords: Cramer-Rao lower bound, maximum likelihood estimation, quantization, Wireless sensor networks.