An Interest-Based Approach for Reducing Network Contentions in Vehicular Transportation Systems

Mariano de Souza, Allan; Guilherme, Maia; Braun, Torsten; Leandro A., Villas (2019). An Interest-Based Approach for Reducing Network Contentions in Vehicular Transportation Systems. Sensors, 19(10), p. 2325. Molecular Diversity Preservation International MDPI 10.3390/s19102325

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Traffic management systems (TMS) are the key for dealing with mobility issues. Moreover, 5G and vehicular networking are expected to play an important role in supporting TMSs for providing a smarter, safer and faster transportation. In this way, several infrastructure-based TMSs have been proposed to improve vehicular traffic mobility. However, in massively connected and multi-service smart city scenarios, infrastructure-based systems can experience low delivery ratios and high latency due to packet congestion in backhaul links on ultra-dense cells with high data traffic demand. In this sense, we propose I am not interested in it (IAN3I), an interest-based approach for reducing network contention and even avoid infrastructure dependence in TMS. IAN3I enables a fully-distributed traffic management and an opportunistic content sharing approach in which vehicles are responsible forstoring and delivering traffic information only to vehicles interested in it. Simulation results under a realistic scenario have shown that, when compared to state-of-the-art approaches, IAN3I decreases the number of transmitted messages, packet collisions and latency in up to 95%, 98% and 55% respectively while dealing with traffic efficiency properly, not affecting traffic management performance at all.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Mariano de Souza, Allan and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1424-8220

Publisher:

Molecular Diversity Preservation International MDPI

Language:

English

Submitter:

Eirini Kalogeiton

Date Deposited:

07 Jun 2019 13:47

Last Modified:

22 Oct 2019 20:04

Publisher DOI:

10.3390/s19102325

BORIS DOI:

10.7892/boris.131228

URI:

https://boris.unibe.ch/id/eprint/131228

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