Routing optimization method based on GPCR for vehicular Ad Hoc network

To improve the performance in sparse networks,local optimum,and routing loop in the greedy perimeter coordinator routing (GPCR) protocol,the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pai...

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Main Authors: Zhiru GU, Min LI, Yonghong LONG, Xiaohua SHU, Qing RONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-07-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020144/
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author Zhiru GU
Min LI
Yonghong LONG
Xiaohua SHU
Qing RONG
author_facet Zhiru GU
Min LI
Yonghong LONG
Xiaohua SHU
Qing RONG
author_sort Zhiru GU
collection DOAJ
description To improve the performance in sparse networks,local optimum,and routing loop in the greedy perimeter coordinator routing (GPCR) protocol,the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pairs,moving direction and density was profoundly analyzed,the composite parameter weighted model was established and the calculation method was designed for the existing routing problems,the weighted parameter ratio was 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 was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR) protocol,GPCR and so on,and the results show that the proposed method is superior to the package delivery ratio,end-to-end delay,and average hop count.
format Article
id doaj-art-35cbb7cc15f34984ad7349dadf7ec561
institution Kabale University
issn 1000-436X
language zho
publishDate 2020-07-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-35cbb7cc15f34984ad7349dadf7ec5612025-01-14T07:19:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-07-014115216459736719Routing optimization method based on GPCR for vehicular Ad Hoc networkZhiru GUMin LIYonghong LONGXiaohua SHUQing RONGTo improve the performance in sparse networks,local optimum,and routing loop in the greedy perimeter coordinator routing (GPCR) protocol,the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pairs,moving direction and density was profoundly analyzed,the composite parameter weighted model was established and the calculation method was designed for the existing routing problems,the weighted parameter ratio was 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 was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR) protocol,GPCR and so on,and the results show that the proposed method is superior to the package delivery ratio,end-to-end delay,and average hop count.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020144/vehicular Ad Hoc networkweight choicegreedy perimeter coordinator routing
spellingShingle Zhiru GU
Min LI
Yonghong LONG
Xiaohua SHU
Qing RONG
Routing optimization method based on GPCR for vehicular Ad Hoc network
Tongxin xuebao
vehicular Ad Hoc network
weight choice
greedy perimeter coordinator routing
title Routing optimization method based on GPCR for vehicular Ad Hoc network
title_full Routing optimization method based on GPCR for vehicular Ad Hoc network
title_fullStr Routing optimization method based on GPCR for vehicular Ad Hoc network
title_full_unstemmed Routing optimization method based on GPCR for vehicular Ad Hoc network
title_short Routing optimization method based on GPCR for vehicular Ad Hoc network
title_sort routing optimization method based on gpcr for vehicular ad hoc network
topic vehicular Ad Hoc network
weight choice
greedy perimeter coordinator routing
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020144/
work_keys_str_mv AT zhirugu routingoptimizationmethodbasedongpcrforvehicularadhocnetwork
AT minli routingoptimizationmethodbasedongpcrforvehicularadhocnetwork
AT yonghonglong routingoptimizationmethodbasedongpcrforvehicularadhocnetwork
AT xiaohuashu routingoptimizationmethodbasedongpcrforvehicularadhocnetwork
AT qingrong routingoptimizationmethodbasedongpcrforvehicularadhocnetwork