期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：4
页码：56-59
出版社：International Journal of Soft Computing & Engineering
摘要：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).
关键词：Cramer-Rao lower bound; maximum likelihood estimation; quantization; Wireless sensor networks.
