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Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks

To improve the packet delivery ratio in wireless sensor networks, many approaches such as multipath, opportunistic, and learning-based routing protocols have been proposed. However, the performance of the existing protocols are degraded under long-hop wireless sensor networks because the additional...

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Autores principales: Kim, Sangdae, Kim, Beom-Su, Kim, Kyong Hoon, Kim, Ki-Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806342/
https://www.ncbi.nlm.nih.gov/pubmed/31547159
http://dx.doi.org/10.3390/s19194072
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author Kim, Sangdae
Kim, Beom-Su
Kim, Kyong Hoon
Kim, Ki-Il
author_facet Kim, Sangdae
Kim, Beom-Su
Kim, Kyong Hoon
Kim, Ki-Il
author_sort Kim, Sangdae
collection PubMed
description To improve the packet delivery ratio in wireless sensor networks, many approaches such as multipath, opportunistic, and learning-based routing protocols have been proposed. However, the performance of the existing protocols are degraded under long-hop wireless sensor networks because the additional overhead is proportional to the number of hops. To deal with the overhead, we propose an opportunistic multipath routing that forecasts the required number of paths, as well as bifurcation based on opportunistic routing according to the reliability requirement. In the proposed scheme, an intermediate node is able to select a different node for each transmission and to handle path failure adaptively. Through a performance evaluation, we demonstrate that the proposed scheme achieves a higher packet delivery ratio and reduces the energy consumption by at least approximately 33% and up to approximately 65% compared with existing routing protocols, under the condition of an 80% link success ratio in the long-hop sensor network.
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spelling pubmed-68063422019-11-07 Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks Kim, Sangdae Kim, Beom-Su Kim, Kyong Hoon Kim, Ki-Il Sensors (Basel) Article To improve the packet delivery ratio in wireless sensor networks, many approaches such as multipath, opportunistic, and learning-based routing protocols have been proposed. However, the performance of the existing protocols are degraded under long-hop wireless sensor networks because the additional overhead is proportional to the number of hops. To deal with the overhead, we propose an opportunistic multipath routing that forecasts the required number of paths, as well as bifurcation based on opportunistic routing according to the reliability requirement. In the proposed scheme, an intermediate node is able to select a different node for each transmission and to handle path failure adaptively. Through a performance evaluation, we demonstrate that the proposed scheme achieves a higher packet delivery ratio and reduces the energy consumption by at least approximately 33% and up to approximately 65% compared with existing routing protocols, under the condition of an 80% link success ratio in the long-hop sensor network. MDPI 2019-09-20 /pmc/articles/PMC6806342/ /pubmed/31547159 http://dx.doi.org/10.3390/s19194072 Text en © 2019 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
Kim, Sangdae
Kim, Beom-Su
Kim, Kyong Hoon
Kim, Ki-Il
Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title_full Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title_fullStr Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title_full_unstemmed Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title_short Opportunistic Multipath Routing in Long-Hop Wireless Sensor Networks
title_sort opportunistic multipath routing in long-hop wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806342/
https://www.ncbi.nlm.nih.gov/pubmed/31547159
http://dx.doi.org/10.3390/s19194072
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