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W-GPCR Routing Method for Vehicular Ad Hoc Networks

The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance o...

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Autores principales: Li, Min, Gu, Zhiru, Long, Yonghong, Shu, Xiaohua, Rong, Qing, Ma, Ziji, Shao, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348947/
https://www.ncbi.nlm.nih.gov/pubmed/32560265
http://dx.doi.org/10.3390/s20123406
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author Li, Min
Gu, Zhiru
Long, Yonghong
Shu, Xiaohua
Rong, Qing
Ma, Ziji
Shao, Xun
author_facet Li, Min
Gu, Zhiru
Long, Yonghong
Shu, Xiaohua
Rong, Qing
Ma, Ziji
Shao, Xun
author_sort Li, Min
collection PubMed
description The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance of the routing protocol, is a difficult task. As an effective solution for VANETs, geographic routing has received extensive attention in recent years. The Greedy Perimeter Coordinator Routing (GPCR) protocol is a widely adopted position-based routing protocol. In this paper, to improve the performance in sparse networks, the local optimum, and the routing loop in the GPCR protocol, the Weighted-GPCR (W-GPCR) protocol is proposed. Firstly, the relationship between vehicle node routing and other parameters, such as the Euclidean distance between node pairs, driving direction, and density, is analyzed. Secondly, the composite parameter weighted model is established and the calculation method is designed for the existing routing problems; the weighted parameter ratio is selected adaptively in different scenarios, so as to obtain the optimal next-hop relay node. In order to verify the performance of the W-GPCR method, the proposed method is compared with existing methods, such as the traditional Geographic Perimeter Stateless Routing (GPSR) protocol and GPCR. Results show that this method is superior in terms of the package delivery ratio, end-to-end delay, and average hop count.
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spelling pubmed-73489472020-07-22 W-GPCR Routing Method for Vehicular Ad Hoc Networks Li, Min Gu, Zhiru Long, Yonghong Shu, Xiaohua Rong, Qing Ma, Ziji Shao, Xun Sensors (Basel) Article The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance of the routing protocol, is a difficult task. As an effective solution for VANETs, geographic routing has received extensive attention in recent years. The Greedy Perimeter Coordinator Routing (GPCR) protocol is a widely adopted position-based routing protocol. In this paper, to improve the performance in sparse networks, the local optimum, and the routing loop in the GPCR protocol, the Weighted-GPCR (W-GPCR) protocol is proposed. Firstly, the relationship between vehicle node routing and other parameters, such as the Euclidean distance between node pairs, driving direction, and density, is analyzed. Secondly, the composite parameter weighted model is established and the calculation method is designed for the existing routing problems; the weighted parameter ratio is selected adaptively in different scenarios, so as to obtain the optimal next-hop relay node. In order to verify the performance of the W-GPCR method, the proposed method is compared with existing methods, such as the traditional Geographic Perimeter Stateless Routing (GPSR) protocol and GPCR. Results show that this method is superior in terms of the package delivery ratio, end-to-end delay, and average hop count. MDPI 2020-06-16 /pmc/articles/PMC7348947/ /pubmed/32560265 http://dx.doi.org/10.3390/s20123406 Text en © 2020 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
Li, Min
Gu, Zhiru
Long, Yonghong
Shu, Xiaohua
Rong, Qing
Ma, Ziji
Shao, Xun
W-GPCR Routing Method for Vehicular Ad Hoc Networks
title W-GPCR Routing Method for Vehicular Ad Hoc Networks
title_full W-GPCR Routing Method for Vehicular Ad Hoc Networks
title_fullStr W-GPCR Routing Method for Vehicular Ad Hoc Networks
title_full_unstemmed W-GPCR Routing Method for Vehicular Ad Hoc Networks
title_short W-GPCR Routing Method for Vehicular Ad Hoc Networks
title_sort w-gpcr routing method for vehicular ad hoc networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348947/
https://www.ncbi.nlm.nih.gov/pubmed/32560265
http://dx.doi.org/10.3390/s20123406
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