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

1,2,*,†, 3,†, 2,*,† and 1,†
1
Institute of Computing, University of Campinas, Campinas 13083-852, Brazil
2
Institute of Computer Science, University of Bern, 3012 Bern, Switzerland
3
Computer Science Department, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(10), 2325; https://doi.org/10.3390/s19102325
Received: 23 April 2019 / Revised: 9 May 2019 / Accepted: 11 May 2019 / Published: 20 May 2019
(This article belongs to the Special Issue Vehicular Network Communications)
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PDF [4808 KB, uploaded 20 May 2019]
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Abstract

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 for storing 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. View Full-Text
Keywords: traffic management system; floating content; opportunistic content sharing traffic management system; floating content; opportunistic content sharing
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de Souza, A.M.; Maia, G.; Braun, T.; Villas, L.A. An Interest-Based Approach for Reducing Network Contentions in Vehicular Transportation Systems. Sensors 2019, 19, 2325.

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