Name
Abstract | ||
|---|---|---|
Energy-based source localization is an important problem in wireless sensor networks (WSNs), which has been studied actively in the literature. Numerous localization algorithms, e. g., maximum likelihood estimation (MLE) and nonlinear-least-squares (NLS) methods, have been reported. In the literature, there are relevant review papers for localization in WSNs, e. g., for distance-based localization. However, not much work related to energy-based source localization is covered in the existing review papers. Energy-based methods are proposed and specially designed for a WSN due to its limited sensor capabilities. This paper aims to give a comprehensive review of these different algorithms for energy-based single and multiple source localization problems, their merits and demerits and to point out possible future research directions. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/s17020376 | SENSORS |
Keywords | Field | DocType |
wireless sensor network (WSN),source localization,maximum likelihood method,least-squares method,Cramer-Rao bound (CRB) | Least squares,Mathematical optimization,Maximum likelihood,Electronic engineering,Source localization,Engineering,Wireless sensor network,Computer engineering,Acoustic source localization,Multiple source localization | Journal |
Volume | Issue | Citations |
17 | 2.0 | 4 |
PageRank | References | Authors |
0.39 | 32 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Meng | 1 | 294 | 30.14 |
| Wendong Xiao | 2 | 214 | 33.93 |