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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Artificial neural network for safety information dissemination in vehicle-to-internet networks

  • Ramesh B. Koti (Department of Electronics and Communication Engineering, Gogte Institute of Technology) ;
  • Mahabaleshwar S. Kakkasageri (Department of Electronics and Communication Engineering, Basaveshwar Engineering College) ;
  • Rajani S. Pujar (Department of Electronics and Communication Engineering, Basaveshwar Engineering College)
  • Received : 2022.05.23
  • Accepted : 2023.08.26
  • Published : 2023.12.10
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Abstract

In vehicular networks, diverse safety information can be shared among vehicles through internet connections. In vehicle-to-internet communications, vehicles on the road are wirelessly connected to different cloud networks, thereby accelerating safety information exchange. Onboard sensors acquire traffic-related information, and reliable intermediate nodes and network services, such as navigational facilities, allow to transmit safety information to distant target vehicles and stations. Using vehicle-to-network communications, we minimize delays and achieve high accuracy through consistent connectivity links. Our proposed approach uses intermediate nodes with two-hop separation to forward information. Target vehicle detection and routing of safety information are performed using machine learning algorithms. Compared with existing vehicle-to-internet solutions, our approach provides substantial improvements by reducing latency, packet drop, and overhead.

Keywords

References

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