Broadcasting under Highway Environment in VANETs using Genetic Algorithm

Research output: Book chapter/Published conference paperConference paper

5 Citations (Scopus)

Abstract

Broadcasting is a part of the communication spectrum supported by VANETs through which information is disseminated to all the vehicles in the network. The dissemination process requires multiple retransmissions to achieve network coverage in a multi-hop environment. However, unsupervised retransmissions cause broadcasting storm, whereas on the other hand network coverage is cannot be achieved without retransmissions. In order to achieve network coverage without creating broadcast storm, the work in [1] proposed the modified Genetic Algorithm based on the analytic fitness function in static highway scenario. In this paper, we use the same approach of the modified GA in a dynamic highway environment. The paper introduces vehicular movement in the model under study by proposing the vehicle speed between 60 and 100 km/h. The result shows minor differences in the number of of retransmissions as well as propagation time for both static and dynamic highway scenario. This is due to the fact that the distance covered by the vehicles movement during the time period required to achieve network coverage is too small.
Original languageEnglish
Title of host publication2nd International Workshop on Research Advancements in Future Networking Technologies (RAFNET 2017) held in conjunction with IEEE 85th Vehicular Technology Conference (VTC 2017)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 16 Nov 2017
Event85th IEEE Vehicular Technology Conference : VTC 2017-Spring Workshops - Sydney Convention And Exhibition Centre, Sydney, Australia
Duration: 04 Jun 201707 Jun 2017
http://ieeevtc.org/vtc2017spring/index.php (Conference website)
http://ieeevtc.org/vtc2017spring/workshops.php (Workshops associated with VTC 2017)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8106913 (Conference proceedings)

Conference

Conference85th IEEE Vehicular Technology Conference
CountryAustralia
CitySydney
Period04/06/1707/06/17
OtherVTC2017-Spring Workshops provide invaluable opportunities for researchers and industry practitioners to share their state-of-the-art research and development results on specific areas or challenging topics. VTC attendees will be able to attend a workshop for a nominal additional fee. Registration packages for individual workshops without VTC will also be available.

All workshops will be held on 4 June 2017.

Early registration ends: 15 May 2017

W1: 6th International Workshop on High Mobility Wireless Communications (HMWC) 2017Time: 8:30 – 12:00, Room: C3-2

W2: 2nd International Workshop on Connecting All Things for Enabling Smart Cities (CONTEST)Time: 8:30 – 17:00, Room: C3-1

W3: 2nd International Workshop on Research Advancements in Future Networking Technologies (RAFNET 2017)Time: 13:30 – 17:00, Room: C3-2

W4: Technology Trials and Proof-of-Concept Activities for 5G and Beyond (TPoC5G)Time: 8:30 – 17:00, Room: C2-1

W5: Wireless Access Technologies and Architectures for Internet of Things (IoT) ApplicationsTime: 8:30 – 17:00, Room: C2-2

W6: Positioning Solutions for Cooperative Intelligent Transportation SystemsTime: 8:30 – 17:00, Room: C2-3

W7: Workshop on Emerging Non-Orthogonal Multiple Access Techniques for 5GTime: 13:30 – 17:00, Room: C2-5

W8: International Workshop on Quantum Communications for Future Networks (QCFN) 2017Time: 8:30 – 17:00, Room: C2-4
Internet address

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  • Cite this

    Jafer, M., Khan, A., Rehman, S. U., & Zia, T. A. (2017). Broadcasting under Highway Environment in VANETs using Genetic Algorithm. In 2nd International Workshop on Research Advancements in Future Networking Technologies (RAFNET 2017) held in conjunction with IEEE 85th Vehicular Technology Conference (VTC 2017) (pp. 1-5). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VTCSpring.2017.8108637