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A Multiscenario Intelligent QoS Routing Algorithm for Vehicle Network.

Shitong Ye1, Shaojiang Liu2, Feng Wang2

  • 1Department of Data Science, Guangzhou Huashang College, Guangzhou 511300, China.

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This study introduces a novel routing algorithm for vehicular ad hoc networks (VANETs) to ensure reliable communication. The algorithm optimizes routing strategies in diverse scenarios, enhancing intelligent transportation systems.

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Area of Science:

  • Intelligent Transportation Systems
  • Wireless Communication Networks
  • Computer Networking

Background:

  • Vehicular ad hoc networks (VANETs) are crucial for intelligent transportation, enabling vehicle-to-vehicle communication and data exchange.
  • Existing VANETs face challenges due to uncertain vehicle mobility, traffic density variations, and unpredictable road environments.
  • Limited external network connectivity necessitates robust internal communication within VANETs.

Purpose of the Study:

  • To propose a multiscenario intelligent Quality of Service (QoS) routing algorithm (MISR) for VANETs.
  • To address challenges of mobility, traffic density, and environmental uncertainty in VANETs.
  • To ensure uninterrupted communication links and optimize QoS parameters.

Main Methods:

  • Analysis of various VANET scenarios, including those with and without roadside units and varying acceleration constraints.
  • Integration of deep reinforcement learning for intelligent routing node selection in complex, dynamic environments.
  • Consideration of QoS metrics such as data transmission rate, bit error rate, and delay time.

Main Results:

  • The proposed MISR algorithm demonstrates improved communication link stability across diverse VANET scenarios.
  • Deep reinforcement learning effectively manages routing in complex scenes with variable vehicle speeds.
  • The algorithm balances various QoS performance criteria for enhanced network efficiency.

Conclusions:

  • The MISR algorithm offers a robust solution for ensuring reliable and high-quality communication in VANETs.
  • Intelligent routing strategies are essential for overcoming the inherent uncertainties in vehicular networks.
  • This research contributes to the advancement of intelligent transportation systems through improved VANET communication.