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<p>The rapid increase in the number of vehicles on the road has led to a surge in research on intelligent transport systems, particularly focusing on enhancing Vehicular Ad Hoc Networks (VANETs).The dynamic mobility of vehicles and the ever-changing network topologies present special challenges for VANETs, resulting in problems including packet loss, communication delays, and network congestion. To mitigate these issues is essential to improving VANETs' dependability and efficiency, and recent research has concentrated on creating robust algorithms. Since Ant Colony Optimization (ACO) is a robust algorithm, we proposes enhanced ACO based Clustered MAC (ACO-CMAC) algorithm, with primary focus to maximize network performance by reducing above problems and guaranteeing smooth vehicle-to-vehicle communication in dynamic conditions.The algorithm is designed in two phases: first, it optimizes the selection of cluster heads using Ant Colony Optimization (ACO) to minimize their number while maintaining effective network coverage. Second, it presents the Priority-Driven Contention Window Adjustment Protocol (PCWAP), which prioritizes channel access for important communications. This lowers transmission delays and enhances network performance by lowering latency and increasing throughput. Simulation results indicate that ACO-CMAC significantly outperforms the IEEE 802.11p standard in terms of cluster performance, cluster head lifetime, end-to-end delay, and packet delivery ratio, thereby improving overall system stability. This work represents a substantial advancement in VANETs, providing a foundation for future research in optimizing vehicular communication networks.</p>

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ACO-CMAC: a novel ant colony optimization and priority-based MAC protocol for enhancing the performance of VANETs

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • C. Tripti,
  • K. G. Preetha,
  • S. Saritha,
  • K. R. Remesh Babu,
  • U. Sangeetha

摘要

The rapid increase in the number of vehicles on the road has led to a surge in research on intelligent transport systems, particularly focusing on enhancing Vehicular Ad Hoc Networks (VANETs).The dynamic mobility of vehicles and the ever-changing network topologies present special challenges for VANETs, resulting in problems including packet loss, communication delays, and network congestion. To mitigate these issues is essential to improving VANETs' dependability and efficiency, and recent research has concentrated on creating robust algorithms. Since Ant Colony Optimization (ACO) is a robust algorithm, we proposes enhanced ACO based Clustered MAC (ACO-CMAC) algorithm, with primary focus to maximize network performance by reducing above problems and guaranteeing smooth vehicle-to-vehicle communication in dynamic conditions.The algorithm is designed in two phases: first, it optimizes the selection of cluster heads using Ant Colony Optimization (ACO) to minimize their number while maintaining effective network coverage. Second, it presents the Priority-Driven Contention Window Adjustment Protocol (PCWAP), which prioritizes channel access for important communications. This lowers transmission delays and enhances network performance by lowering latency and increasing throughput. Simulation results indicate that ACO-CMAC significantly outperforms the IEEE 802.11p standard in terms of cluster performance, cluster head lifetime, end-to-end delay, and packet delivery ratio, thereby improving overall system stability. This work represents a substantial advancement in VANETs, providing a foundation for future research in optimizing vehicular communication networks.