Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks

Amer, Hayder M and Al Mohammed, Hawraa H. and Mihaylova, Lyudmila and Rodrigues, Marcos (2022) Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks. In: IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: vehicular networks iov networks wireless channel congestion optimization approach
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 29 Apr 2022 13:47
Last Modified: 29 Apr 2022 13:47

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