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An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks
In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007185/ https://www.ncbi.nlm.nih.gov/pubmed/36904985 http://dx.doi.org/10.3390/s23052783 |
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author | Wang, Neng-Chung Tsai, Ming-Fong Lee, Chao-Yang Chen, Young-Long Wong, Shih-Hsun |
author_facet | Wang, Neng-Chung Tsai, Ming-Fong Lee, Chao-Yang Chen, Young-Long Wong, Shih-Hsun |
author_sort | Wang, Neng-Chung |
collection | PubMed |
description | In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to the sink. Therefore, how to use location information to construct an energy efficient geocasting path is a very important issue. FERMA is a geocasting scheme for WSNs based on Fermat points. In this paper, an efficient grid-based geocasting scheme for WSNs, which is called GB-FERMA, is proposed. The scheme uses the Fermat point theorem to search for the specific nodes as Fermat points in a grid-based WSN, and it selects the optimal relay nodes (gateways) in the grid structure to realize energy-aware forwarding. In the simulations, when the initial power 0.25 J, the average energy consumption of GB-FERMA is about 53% of FERMA-QL, 37% of FERMA, and 23% of GEAR; however, when with the initial power 0.5 J, the average energy consumption of GB-FERMA is about 77% of FERMA-QL, 65% of FERMA, and 43% of GEAR. The proposed GB-FERMA can effectively reduce the energy consumption and thus prolong the lifetime of the WSN. |
format | Online Article Text |
id | pubmed-10007185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100071852023-03-12 An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks Wang, Neng-Chung Tsai, Ming-Fong Lee, Chao-Yang Chen, Young-Long Wong, Shih-Hsun Sensors (Basel) Article In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to the sink. Therefore, how to use location information to construct an energy efficient geocasting path is a very important issue. FERMA is a geocasting scheme for WSNs based on Fermat points. In this paper, an efficient grid-based geocasting scheme for WSNs, which is called GB-FERMA, is proposed. The scheme uses the Fermat point theorem to search for the specific nodes as Fermat points in a grid-based WSN, and it selects the optimal relay nodes (gateways) in the grid structure to realize energy-aware forwarding. In the simulations, when the initial power 0.25 J, the average energy consumption of GB-FERMA is about 53% of FERMA-QL, 37% of FERMA, and 23% of GEAR; however, when with the initial power 0.5 J, the average energy consumption of GB-FERMA is about 77% of FERMA-QL, 65% of FERMA, and 43% of GEAR. The proposed GB-FERMA can effectively reduce the energy consumption and thus prolong the lifetime of the WSN. MDPI 2023-03-03 /pmc/articles/PMC10007185/ /pubmed/36904985 http://dx.doi.org/10.3390/s23052783 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Neng-Chung Tsai, Ming-Fong Lee, Chao-Yang Chen, Young-Long Wong, Shih-Hsun An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title | An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title_full | An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title_fullStr | An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title_full_unstemmed | An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title_short | An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks |
title_sort | efficient grid-based geocasting scheme for wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007185/ https://www.ncbi.nlm.nih.gov/pubmed/36904985 http://dx.doi.org/10.3390/s23052783 |
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