A Novel V2V-based Temporary Warning Network for Safety Message Dissemination in Urban Environments

Bingyi Liu, Weizhen Han, Wei Jiang, Dongyao Jia, Enshu Wang, Jianping Wang, Chunming Qiao

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Vehicular communication networks (VCNs) have been widely recognized as promising solutions to support safety-related applications in urban transportation systems. However, constructing and maintaining such networks is quite challenging due to the complex traffic and communication environment. Substantial studies have focused on the design of the networking schemes and message dissemination protocols. Nonetheless, most existing designs only consider the connectivity and rapid end-to-end transmission, regardless of the network coverage and duration. In this paper, we propose a novel temporary warning network (TWN) for safety message dissemination in the urban traffic environment, in which both the spatial distribution and temporal duration of the networking scheme are taken into account. Specifically, TWN is constructed by the selection of relay vehicles based on the spatio-temporal correlation of vehicle trajectory so that the safety message can be quickly disseminated within the regions of interest (RoI). To maintain TWN during an accident, a re-selection mechanism is also proposed, which enables newly-come vehicles in the RoI to receive the messages in time. Finally, we conduct extensive numerical experiments to validate the effectiveness of our method in various traffic scenarios.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Internet of Things Journal
Volume9
Issue number24
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • 5G mobile communication
  • Accidents
  • broadcast coverage and duration
  • Internet of Things
  • region of interest
  • Relays
  • Roads
  • Safety
  • safety message dissemination
  • temporary warning network
  • Urban areas
  • vehicle trajectory
  • vehicular communication networks

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