Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm
As on-road vehicles are increasing every year, safety on the road has become one of the major concerns. Therefore, Vehicular Ad Hoc Network (VANET) becomes as an important role on the road. In VANET, communication occurs between vehicles and the infrastructures. During broadcasting, an emergency mes...
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Institute of Electrical and Electronics Engineers
2021
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Online Access: | https://eprints.ums.edu.my/id/eprint/32520/1/Enhanced%20multi-hop%20mechanism%20in%20vehicular%20communication%20system%20using%20swarm%20algorithm.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32520/2/Enhanced%20Multi-Hop%20Mechanism%20in%20Vehicular%20Communication%20System%20using%20Swarm%20Algorithm.pdf https://eprints.ums.edu.my/id/eprint/32520/ https://ieeexplore.ieee.org/document/9573842 |
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my.ums.eprints.325202022-05-03T13:18:29Z https://eprints.ums.edu.my/id/eprint/32520/ Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm Kit, Guan Lim Ke Wen Teh, Wen Teh Min, Keng Tan Herwansyah Lago Soo, Siang Yang Tze, Kenneth Kin Teo QA1-43 General TK1-9971 Electrical engineering. Electronics. Nuclear engineering As on-road vehicles are increasing every year, safety on the road has become one of the major concerns. Therefore, Vehicular Ad Hoc Network (VANET) becomes as an important role on the road. In VANET, communication occurs between vehicles and the infrastructures. During broadcasting, an emergency message is transferred to the surrounding vehicles to alert other vehicles in the area. However, blind flooding in wireless network might result in redundant rebroadcast, contentions and collision with the neighbouring nodes. This situation is named as broadcast storm. Broadcast storm might lead to the losses of the information or lead to the wrong information being transmitted to the neighbouring nodes. The paper aims to design a broadcast control system which is able to optimize the broadcast process in VANET. Vehicular network is modelled in Simulation of Urban Mobility (SUMO) and the algorithm is formulated in MATLAB. Data is extracted from SUMO through Traffic Control Interface for MATLAB (TraCI4Matlab). The broadcast protocol and Particle Swarm Optimization (PSO) algorithm are formulated in this paper. At the same time PSO is modified for the broadcast enhancement. Results showed that after parameters tuning the modified PSO is able to broadcast into a larger coverage area at a faster rate. Institute of Electrical and Electronics Engineers 2021-09-13 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32520/1/Enhanced%20multi-hop%20mechanism%20in%20vehicular%20communication%20system%20using%20swarm%20algorithm.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/32520/2/Enhanced%20Multi-Hop%20Mechanism%20in%20Vehicular%20Communication%20System%20using%20Swarm%20Algorithm.pdf Kit, Guan Lim and Ke Wen Teh, Wen Teh and Min, Keng Tan and Herwansyah Lago and Soo, Siang Yang and Tze, Kenneth Kin Teo (2021) Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm. https://ieeexplore.ieee.org/document/9573842 |
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QA1-43 General TK1-9971 Electrical engineering. Electronics. Nuclear engineering Kit, Guan Lim Ke Wen Teh, Wen Teh Min, Keng Tan Herwansyah Lago Soo, Siang Yang Tze, Kenneth Kin Teo Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
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As on-road vehicles are increasing every year, safety on the road has become one of the major concerns. Therefore, Vehicular Ad Hoc Network (VANET) becomes as an important role on the road. In VANET, communication occurs between vehicles and the infrastructures. During broadcasting, an emergency message is transferred to the surrounding vehicles to alert other vehicles in the area. However, blind flooding in wireless network might result in redundant rebroadcast, contentions and collision with the neighbouring nodes. This situation is named as broadcast storm. Broadcast storm might lead to the losses of the information or lead to the wrong information being transmitted to the neighbouring nodes. The paper aims to design a broadcast control system which is able to optimize the broadcast process in VANET. Vehicular network is modelled in Simulation of Urban Mobility (SUMO) and the algorithm is formulated in MATLAB. Data is extracted from SUMO through Traffic Control Interface for MATLAB (TraCI4Matlab). The broadcast protocol and Particle Swarm Optimization (PSO) algorithm are formulated in this paper. At the same time PSO is modified for the broadcast enhancement. Results showed that after parameters tuning the modified PSO is able to broadcast into a larger coverage area at a faster rate. |
format |
Proceedings |
author |
Kit, Guan Lim Ke Wen Teh, Wen Teh Min, Keng Tan Herwansyah Lago Soo, Siang Yang Tze, Kenneth Kin Teo |
author_facet |
Kit, Guan Lim Ke Wen Teh, Wen Teh Min, Keng Tan Herwansyah Lago Soo, Siang Yang Tze, Kenneth Kin Teo |
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Kit, Guan Lim |
title |
Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
title_short |
Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
title_full |
Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
title_fullStr |
Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
title_full_unstemmed |
Enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
title_sort |
enhanced multi-hop mechanism in vehicular communication system using swarm algorithm |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2021 |
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https://eprints.ums.edu.my/id/eprint/32520/1/Enhanced%20multi-hop%20mechanism%20in%20vehicular%20communication%20system%20using%20swarm%20algorithm.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32520/2/Enhanced%20Multi-Hop%20Mechanism%20in%20Vehicular%20Communication%20System%20using%20Swarm%20Algorithm.pdf https://eprints.ums.edu.my/id/eprint/32520/ https://ieeexplore.ieee.org/document/9573842 |
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