Dynamic Clustering and Cooperative Scheduling for Vehicle-to-Vehicle Communication in Bidirectional Road Scenarios

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

48 Scopus Citations
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Author(s)

  • Junhua Wang
  • Kai Liu
  • Ke Xiao
  • Chao Chen
  • Weiwei Wu
  • Sang Hyuk Son

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1913-1924
Journal / PublicationIEEE Transactions on Intelligent Transportation Systems
Volume19
Issue number6
Online published2 Oct 2017
Publication statusPublished - Jun 2018

Abstract

Efficient data dissemination is critical for enabling emerging applications in vehicular ad hoc networks. As a typical traffic scenario, the bidirectional road scenario of highways bring unique challenges on well exploiting the benefit of vehicle-to-vehicle (V2V) communication for data sharing among vehicles driving in opposite directions. This paper is dedicated to investigating the characteristics of data services in such a scenario and exploring new opportunities for enhancing overall system performance. Specifically, we present a system architecture to enable the road-side unit assisted data scheduling via vehicle-to-infrastructure communication. Then, we give a theoretical analysis on the opportunity of successful data sharing among vehicles driving in opposite directions based on the analysis of signal-to-interference-noise-ratio of V2V communication. On this basis, we propose a clustering mechanism based on the design of a time division policy and the derivation of the optimal cluster length. In addition, a cluster association strategy is designed to enable vehicles to dynamically join or leave a cluster based on their real-time velocities. Furthermore, a two-phase backoff mechanism is designed for distributed data sharing based on V2V communication, and a cooperative scheduling algorithm is proposed for selecting sender vehicles as well as the corresponding data items for broadcasting. Finally, we build the simulation model and give a comprehensive simulation study, which demonstrates that the proposed solutions can effectively improve the overall system performance.

Research Area(s)

  • clustering, cooperative scheduling, Data dissemination, Relays, Roads, System performance, Systems architecture, V2V communication, Vehicle dynamics, Vehicular ad hoc networks, vehicular ad-hoc networks

Citation Format(s)

Dynamic Clustering and Cooperative Scheduling for Vehicle-to-Vehicle Communication in Bidirectional Road Scenarios. / Wang, Junhua; Liu, Kai; Xiao, Ke et al.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 6, 06.2018, p. 1913-1924.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review