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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A distributed and low-overhead traffic congestion control protocol for vehicular ad hoc networks

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Author(s):
de Sousa, Roniel S. [1, 2] ; Boukerche, Azzedine [2, 3] ; Loureiro, Antonio A. F. [1]
Total Authors: 3
Affiliation:
[1] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG - Brazil
[2] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON - Canada
[3] Loureiro, Antonio A. F., Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil.de Sousa, Roniel S., Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON - Canada
Total Affiliations: 3
Document type: Journal article
Source: COMPUTER COMMUNICATIONS; v. 159, p. 258-270, JUN 1 2020.
Web of Science Citations: 0
Abstract

The development of new technologies and transportation modes is a crucial component for improving urban mobility. For instance, researchers have shown that vehicular networks are a promising technology to monitor and reduce traffic jams. Nevertheless, most of these solutions rely on costly external infrastructures, such as roadside units or cellular networks. In this work, we propose DisTraC, a protocol for vehicular ad hoc networks. DisTraC is a traffic congestion control protocol of low communication overhead that aims to reduce the average travel time of vehicles by using vehicle-to-vehicle (V2V) communication. The protocol is independent of external infrastructures as uses only V2V communication. Simulation results show that DisTraC outperforms other solutions published in the literature both in terms of communication overhead and capability to reduce traffic congestion. (AU)

FAPESP's process: 18/23064-8 - Mobility in urban computing: characterization, modeling and applications (MOBILIS)
Grantee:Antonio Alfredo Ferreira Loureiro
Support type: Research Projects - Thematic Grants
FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support type: Research Projects - Thematic Grants