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A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks
Underwater Acoustic Sensor Networks (UASNs) have attracted increasing interest in recent years due to their extensive commercial and military applications. However, the harsh underwater channel causes many challenges for the design of reliable underwater data transport protocol. In this paper, we pr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038722/ https://www.ncbi.nlm.nih.gov/pubmed/27618044 http://dx.doi.org/10.3390/s16091444 |
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author | Wang, Hao Wang, Shilian Zhang, Eryang Zou, Jianbin |
author_facet | Wang, Hao Wang, Shilian Zhang, Eryang Zou, Jianbin |
author_sort | Wang, Hao |
collection | PubMed |
description | Underwater Acoustic Sensor Networks (UASNs) have attracted increasing interest in recent years due to their extensive commercial and military applications. However, the harsh underwater channel causes many challenges for the design of reliable underwater data transport protocol. In this paper, we propose an energy efficient data transport protocol based on network coding and hybrid automatic repeat request (NCHARQ) to ensure reliability, efficiency and availability in UASNs. Moreover, an adaptive window length estimation algorithm is designed to optimize the throughput and energy consumption tradeoff. The algorithm can adaptively change the code rate and can be insensitive to the environment change. Extensive simulations and analysis show that NCHARQ significantly reduces energy consumption with short end-to-end delay. |
format | Online Article Text |
id | pubmed-5038722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50387222016-09-29 A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks Wang, Hao Wang, Shilian Zhang, Eryang Zou, Jianbin Sensors (Basel) Article Underwater Acoustic Sensor Networks (UASNs) have attracted increasing interest in recent years due to their extensive commercial and military applications. However, the harsh underwater channel causes many challenges for the design of reliable underwater data transport protocol. In this paper, we propose an energy efficient data transport protocol based on network coding and hybrid automatic repeat request (NCHARQ) to ensure reliability, efficiency and availability in UASNs. Moreover, an adaptive window length estimation algorithm is designed to optimize the throughput and energy consumption tradeoff. The algorithm can adaptively change the code rate and can be insensitive to the environment change. Extensive simulations and analysis show that NCHARQ significantly reduces energy consumption with short end-to-end delay. MDPI 2016-09-07 /pmc/articles/PMC5038722/ /pubmed/27618044 http://dx.doi.org/10.3390/s16091444 Text en © 2016 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 Wang, Hao Wang, Shilian Zhang, Eryang Zou, Jianbin A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title | A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title_full | A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title_fullStr | A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title_full_unstemmed | A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title_short | A Network Coding Based Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks |
title_sort | network coding based hybrid arq protocol for underwater acoustic sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038722/ https://www.ncbi.nlm.nih.gov/pubmed/27618044 http://dx.doi.org/10.3390/s16091444 |
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