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As a specialized class of mobile ad-hoc networks, Vehicular Ad-hoc Networks (VANETs) play a pivotal role in enhancing urban road safety, traffic efficiency, and facilitating intelligent transportation systems. The routing protocols in VANETs ensure effective collaboration between vehicles. However, the design of routing protocol in VANETs encounters substantial challenges due to the high density of urban vehicles, rapid mobility, and frequent topology changes. In this paper, we propose a novel routing protocol for VANETs, named Multi-Criteria Optimized Link State Routing (MC-OLSR). This protocol leverages enhanced link-state awareness to collect a variety of link parameters and node performance metrics from neighboring nodes. Utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we perform a comprehensive evaluation of these metrics, and propose the Multi-Point Relay Fitness Index (MFI) to assess the potential of candidate nodes to serve as Multi-Point Relays (MPRs), and select better MPR nodes based on the MFI. Simulation results in urban scenarios indicate that the VANETs with MC-OLSR protocol can achieve better network performance in terms of packet delivery rates, average end-to-end delay, and throughput.

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An Enhanced Link-Aware MPR Selection OLSR Protocol for Vehicular Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Yifei Li,
  • Tong Wang,
  • Lu Wang,
  • Shan Gao,
  • Ouyang Min,
  • Chunhui Zhao

摘要

As a specialized class of mobile ad-hoc networks, Vehicular Ad-hoc Networks (VANETs) play a pivotal role in enhancing urban road safety, traffic efficiency, and facilitating intelligent transportation systems. The routing protocols in VANETs ensure effective collaboration between vehicles. However, the design of routing protocol in VANETs encounters substantial challenges due to the high density of urban vehicles, rapid mobility, and frequent topology changes. In this paper, we propose a novel routing protocol for VANETs, named Multi-Criteria Optimized Link State Routing (MC-OLSR). This protocol leverages enhanced link-state awareness to collect a variety of link parameters and node performance metrics from neighboring nodes. Utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we perform a comprehensive evaluation of these metrics, and propose the Multi-Point Relay Fitness Index (MFI) to assess the potential of candidate nodes to serve as Multi-Point Relays (MPRs), and select better MPR nodes based on the MFI. Simulation results in urban scenarios indicate that the VANETs with MC-OLSR protocol can achieve better network performance in terms of packet delivery rates, average end-to-end delay, and throughput.