4.7 Article

Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

Journal

IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume 20, Issue 1, Pages 162-173

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TMC.2019.2939803

Keywords

Rats; Vehicular ad hoc networks; Bandwidth; Heuristic algorithms; Reliability; Mobile computing; Safety; Connected vehicles; connected automated vehicles; cooperative ITS; V2V; vehicle-to-vehicle; heterogeneous communications; heterogeneous V2V; multi-RAT; multi-link; multi-channel; multi-band; VANET; vehicular networks

Funding

  1. Spanish Ministry of Economy and Competitiveness
  2. FEDER funds [TEC2014-57146-R, TEC2017-88612-R]

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This paper introduces a new heterogeneous V2V communication algorithm that dynamically selects communication technology based on vehicles' application requirements and communication conditions. It aims to meet vehicles' application needs and improve network capacity.
Connected and automated vehicles will enable advanced traffic safety and efficiency applications thanks to the dynamic exchange of information between vehicles, and between vehicles and infrastructure nodes. Connected vehicles can utilize IEEE 802.11p for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, a widespread deployment of connected vehicles and the introduction of connected automated driving applications will notably increase the bandwidth and scalability requirements of vehicular networks. This paper proposes to address these challenges through the adoption of heterogeneous V2V communications in multi-link and multi-RAT vehicular networks. In particular, the paper proposes the first distributed (and decentralized) context-aware heterogeneous V2V communications algorithm that is technology and application agnostic, and that allows each vehicle to autonomously and dynamically select its communications technology taking into account its application requirements and the communication context conditions. This study demonstrates the potential of heterogeneous V2V communications, and the capability of the proposed algorithm to satisfy the vehicles' application requirements while approaching the estimated upper bound network capacity.

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