Modeling Efficient and Effective Communications in VANET through Population Protocols
Abstract
Vehicular Ad-hoc NETworks (VANETs) enable a countless set of next-generation applications thanks to the technological progress of the last decades. These applications rely on the assumption that a simple network of vehicles can be extended with more complex and powerful network infrastructure, in which several Road Side Units (RSUs) are employed to achieve application-specific goals. However, this assumption is not always satisfied as in many real-world scenarios it is unfeasible to have a conspicuous deployment of RSUs, due to both economic and environmental constraints. With the aim to overcome this limitation, in this paper we investigate how the only Vehicle-to-Vehicle (V2V) communications can be effectively exploited to share data among the vehicles about an event of interest, such as vehicular traffic. In this sense, we propose a novel communication schema based on the Population Protocol model that allows vehicles to be efficiently updated about a given event. Experimental analysis aims to evaluate the performance of the proposed schema, while also highlighting the benefits it might bring in VANETs applications.
Recommended Citation
A. Bordonaro et al., "Modeling Efficient and Effective Communications in VANET through Population Protocols," Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021, pp. 305 - 310, Institute of Electrical and Electronics Engineers (IEEE), Aug 2021.
The definitive version is available at https://doi.org/10.1109/SMARTCOMP52413.2021.00064
Meeting Name
7th IEEE International Conference on Smart Computing, SMARTCOMP 2021 (2021: Aug. 23-27, Irvine, CA)
Department(s)
Computer Science
Keywords and Phrases
Population Protocols; VANET; Vehicle-To-Vehicle Communications
International Standard Book Number (ISBN)
978-166541252-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
27 Aug 2021