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Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range
In wireless sensor networks (WSNs), the energy hole problem is a key factor affecting the network lifetime. In a circular multi-hop sensor network (modeled as concentric coronas), the optimal transmission ranges of all coronas can effectively improve network lifetime. In this paper, we investigate W...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231426/ https://www.ncbi.nlm.nih.gov/pubmed/22163950 http://dx.doi.org/10.3390/s110606203 |
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author | Yu, Yimin Song, Chao Liu, Ming Gong, Haigang |
author_facet | Yu, Yimin Song, Chao Liu, Ming Gong, Haigang |
author_sort | Yu, Yimin |
collection | PubMed |
description | In wireless sensor networks (WSNs), the energy hole problem is a key factor affecting the network lifetime. In a circular multi-hop sensor network (modeled as concentric coronas), the optimal transmission ranges of all coronas can effectively improve network lifetime. In this paper, we investigate WSNs with non-uniform maximum transmission ranges, where sensor nodes deployed in different regions may differ in their maximum transmission range. Then, we propose an Energy-efficient algorithm for Non-uniform Maximum Transmission range (ENMT), which can search approximate optimal transmission ranges of all coronas in order to prolong network lifetime. Furthermore, the simulation results indicate that ENMT performs better than other algorithms. |
format | Online Article Text |
id | pubmed-3231426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32314262011-12-07 Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range Yu, Yimin Song, Chao Liu, Ming Gong, Haigang Sensors (Basel) Article In wireless sensor networks (WSNs), the energy hole problem is a key factor affecting the network lifetime. In a circular multi-hop sensor network (modeled as concentric coronas), the optimal transmission ranges of all coronas can effectively improve network lifetime. In this paper, we investigate WSNs with non-uniform maximum transmission ranges, where sensor nodes deployed in different regions may differ in their maximum transmission range. Then, we propose an Energy-efficient algorithm for Non-uniform Maximum Transmission range (ENMT), which can search approximate optimal transmission ranges of all coronas in order to prolong network lifetime. Furthermore, the simulation results indicate that ENMT performs better than other algorithms. Molecular Diversity Preservation International (MDPI) 2011-06-08 /pmc/articles/PMC3231426/ /pubmed/22163950 http://dx.doi.org/10.3390/s110606203 Text en © 2011 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Yu, Yimin Song, Chao Liu, Ming Gong, Haigang Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title | Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title_full | Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title_fullStr | Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title_full_unstemmed | Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title_short | Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range |
title_sort | energy-efficient algorithm for sensor networks with non-uniform maximum transmission range |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231426/ https://www.ncbi.nlm.nih.gov/pubmed/22163950 http://dx.doi.org/10.3390/s110606203 |
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