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<p>Data exchange in the Internet of Vehicles (IoV) is challenging due to high interference, hidden terminal problems, and frequent transmission collisions. To overcome these issues and enhance overall network performance, we propose a Space Division and theory of Graph Coloration-based protocol for Multi-Channel Multi-Transceiver operation of the MAC layer (SDGC-MCMT) in the IoV. The protocol dynamically assigns service channels to vehicles based on their positions and schedules the transmission of packets across multiple transceivers to enhance efficiency and enable synchronous communication. Furthermore, it uses an adaptive channel busyness-based scheme when the number of available transceivers is lower than the number of service channels to improve data delivery. Simulation experiments, targeting packet delivery ratio, multi-hop channel access latency, and collision probability reveal the effectiveness of SDGC-MCMT in improving network performance compared to the IEEE 1609.4 protocol.</p>

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Space division and theory of graph-coloration-based protocol for multi-channel multi-transceiver operation in Internet of Vehicles

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月21日

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  • Lazhar Khamer,
  • Sofiane Zaidi,
  • Carlos T. Calafate

摘要

Data exchange in the Internet of Vehicles (IoV) is challenging due to high interference, hidden terminal problems, and frequent transmission collisions. To overcome these issues and enhance overall network performance, we propose a Space Division and theory of Graph Coloration-based protocol for Multi-Channel Multi-Transceiver operation of the MAC layer (SDGC-MCMT) in the IoV. The protocol dynamically assigns service channels to vehicles based on their positions and schedules the transmission of packets across multiple transceivers to enhance efficiency and enable synchronous communication. Furthermore, it uses an adaptive channel busyness-based scheme when the number of available transceivers is lower than the number of service channels to improve data delivery. Simulation experiments, targeting packet delivery ratio, multi-hop channel access latency, and collision probability reveal the effectiveness of SDGC-MCMT in improving network performance compared to the IEEE 1609.4 protocol.