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Energy-Based Acoustic Source Localization Methods: A Survey
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336128/ https://www.ncbi.nlm.nih.gov/pubmed/28212281 http://dx.doi.org/10.3390/s17020376 |
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author | Meng, Wei Xiao, Wendong |
author_facet | Meng, Wei Xiao, Wendong |
author_sort | Meng, Wei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5336128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53361282017-03-16 Energy-Based Acoustic Source Localization Methods: A Survey Meng, Wei Xiao, Wendong Sensors (Basel) Article 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. MDPI 2017-02-15 /pmc/articles/PMC5336128/ /pubmed/28212281 http://dx.doi.org/10.3390/s17020376 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Meng, Wei Xiao, Wendong Energy-Based Acoustic Source Localization Methods: A Survey |
title | Energy-Based Acoustic Source Localization Methods: A Survey |
title_full | Energy-Based Acoustic Source Localization Methods: A Survey |
title_fullStr | Energy-Based Acoustic Source Localization Methods: A Survey |
title_full_unstemmed | Energy-Based Acoustic Source Localization Methods: A Survey |
title_short | Energy-Based Acoustic Source Localization Methods: A Survey |
title_sort | energy-based acoustic source localization methods: a survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336128/ https://www.ncbi.nlm.nih.gov/pubmed/28212281 http://dx.doi.org/10.3390/s17020376 |
work_keys_str_mv | AT mengwei energybasedacousticsourcelocalizationmethodsasurvey AT xiaowendong energybasedacousticsourcelocalizationmethodsasurvey |