An Adaptive Collision Control Proposal Using Cooperative MAC Protocol for Urban Vehicular Adhoc Networks
Vehicular ad hoc networks (VANETs) are identified as a promising technology to solve the issues of high-speed communication and as well it helps to improve the traffic security and it can able to handle the hazardous situation. Currently vehicles in VANETs perform communication between other vehicles and infrastructure which is present in its coverage region. The data transmission in recent days is done through time-division multiple access (TDMA) based model and it’s created transmission collisions while handling the high-speed vehicles. With the purpose of reducing these shortcomings, in this article Adaptive Collision Control Proposal Using Cooperative MAC Protocol (ACCMAC) is developed. The core idea of this protocol is subdivided into three sections they are effective system model, congestion detection process and cooperative MAC protocol. After designing the vehicular network during data transmission, congestion is detected where the mobility of the vehicles is predicted to prevent from the congestion. Secondly through cooperative MAC protocol, the time slots for data transmission are standardized in priority basis and that leads to reduce the congestion, delay and link failure occurrence. The results are discussed and its proves that the proposed ACCMAC attains 18% higher delivery ratio, 100ms lower delay, 210packets lower packet loss and 350 packets lower routing overhead.
Authors
- Fazirulhisyam Hashim (ORCID: https://orcid.org/0000-0003-1880-5643)
- A Ajil
- Mohammed Ihsan
- Tabarek Hasanain AlDaami
- Manimaran Naghapushanam
- Duaa Jasim Mohammad
Institutions
- Thi Qar University (IQ)
- Alsalam University College (IQ)
- Kodolányi János University of Applied Sciences (HU)
- Iraqi University (IQ)
- Global College (CY)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/iccsp64183.2025.11088766
- Primary Topic
- Vehicular Ad Hoc Networks (VANETs)
- Type
- article
- Field-Weighted Citation Impact
- 0.00