ACO-based Approach on Dynamic MSMD Routing in IoV Environment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, Tri-Hai | - |
dc.contributor.author | Jung, Jason J. | - |
dc.date.accessioned | 2021-05-20T08:40:37Z | - |
dc.date.available | 2021-05-20T08:40:37Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 2469-8792 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44044 | - |
dc.description.abstract | Recently, the advance of the Internet of Things (IoT) and wireless communication technology, specifically Vehicles-to-Everything (V2X), makes a huge contribution to road transportation. The fully connected and autonomous system of road transportation can be basically made in practice by integrating V2X with a current autonomous vehicle. In this paper, we focus on dynamic traffic routing for IoT-based connected vehicles. First, we define the problem of identifying the best paths for all vehicles with different sources and different destinations, or multi-source multi-destination (MSMD) traffic flows. Then, Ant Colony Optimization (ACO)-based approach with coloring ants concept is proposed to solve the problem in a decentralized and self decision-making manner. The simulation is carried out on the NetLogo platform with a multi-intersection scenario. The simulation results show that the ACO-based routing approach outperforms the non-ACO-based approach in terms of average traveling time and the number of vehicles passing metrics. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | ACO-based Approach on Dynamic MSMD Routing in IoV Environment | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/IE49459.2020.9154927 | - |
dc.identifier.bibliographicCitation | PROCEEDINGS OF THE 2020 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE), pp 68 - 73 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000621223400010 | - |
dc.identifier.scopusid | 2-s2.0-85093097480 | - |
dc.citation.endPage | 73 | - |
dc.citation.startPage | 68 | - |
dc.citation.title | PROCEEDINGS OF THE 2020 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE) | - |
dc.type.docType | Proceedings Paper | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Ant Colony Optimization | - |
dc.subject.keywordAuthor | Connected Vehicles | - |
dc.subject.keywordAuthor | Dynamic Routing | - |
dc.subject.keywordAuthor | IoV | - |
dc.subject.keywordAuthor | MSMD | - |
dc.subject.keywordPlus | ANT COLONY | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | INTERNET | - |
dc.subject.keywordPlus | VEHICLES | - |
dc.subject.keywordPlus | THINGS | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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