Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

Research Article

Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks

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  • @INPROCEEDINGS{10.4108/eai.7-9-2021.2314811,
        author={Hayder M Amer and Hawraa H. Al Mohammed and Lyudmila Mihaylova and Marcos Rodrigues},
        title={Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks},
        proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey},
        publisher={EAI},
        proceedings_a={IMDC-IST},
        year={2022},
        month={1},
        keywords={vehicular networks iov networks wireless channel congestion optimization approach},
        doi={10.4108/eai.7-9-2021.2314811}
    }
    
  • Hayder M Amer
    Hawraa H. Al Mohammed
    Lyudmila Mihaylova
    Marcos Rodrigues
    Year: 2022
    Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks
    IMDC-IST
    EAI
    DOI: 10.4108/eai.7-9-2021.2314811
Hayder M Amer1,*, Hawraa H. Al Mohammed2, Lyudmila Mihaylova3, Marcos Rodrigues2
  • 1: Computer System Department, Technical Institute of Basra, Southern Technical University-Iraq
  • 2: Sheffield Hallam University, Computer and Networking department, Sheffield, United Kingdom
  • 3: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom
*Contact email: hayder.amer@stu.edu.iq

Abstract

The increment in traffic jams in vehicular environments has a vital influence on the wireless channel. This is due to broadcasting many application messages among communicated vehicles. This has generated a data wireless channel congestion problem. This problem influences the efficiency and performance of the network due to the large data collision, high messages loss, and low throughput which in turn decreases the awareness and safety in the vehicular environments. In this paper, a new efficient broadcast approach has been developed based on the network utility maximization method to adjust vehicle broadcasting rate and mitigate overhead on the wireless channel. The results from the simulation scenario have shown that the developed broadcast protocol enhances vehicular network performance by reducing channel congestion and improves network attributes such as delay, throughput, messages loss, and total channel occupation time as compared to other tested approaches.