Research Article
Network Utility Maximization for Information Frequency Adaptation in Vehicular Networks
@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
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.
