{"title":"ACLSGO: Ant Colony Link State aware Geographic Opportunistic routing protocol for VANET","authors":"F. Belamri, Samra Boulfekhar, Pr Djamil Aissani","doi":"10.1109/CSCI54926.2021.00272","DOIUrl":null,"url":null,"abstract":"The unique characteristics of the Ad Hoc Vehicle Network (VANET), such as high mobility and dynamic network topology, greatly affect data transmission. Indeed, selecting a promising route that forward data is subject to multiple Quality of Service (QoS) constraint such as link failure. In this paper, we propose the Ant Colony Link state aware geographic Opportunistic routing protocol ACLSGO. Based on path robustness and Ant Colony Optimization (ACO), the proposed ACLSGO selects the best candidate node set and determines the optimal priority node to transmit the data. Simulation results show that ACLSGO protocol outperforms LSGO in terms of packet delivery ratio, throughput and also the average end-to-end delay is considerably reduced.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI54926.2021.00272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The unique characteristics of the Ad Hoc Vehicle Network (VANET), such as high mobility and dynamic network topology, greatly affect data transmission. Indeed, selecting a promising route that forward data is subject to multiple Quality of Service (QoS) constraint such as link failure. In this paper, we propose the Ant Colony Link state aware geographic Opportunistic routing protocol ACLSGO. Based on path robustness and Ant Colony Optimization (ACO), the proposed ACLSGO selects the best candidate node set and determines the optimal priority node to transmit the data. Simulation results show that ACLSGO protocol outperforms LSGO in terms of packet delivery ratio, throughput and also the average end-to-end delay is considerably reduced.
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