A survey on data dissemination in internet of vehicles networks

• Published in: Journal of location based services Vol. 17; no. 3; pp. 207 - 250
• Main Authors: Azzaoui, Nadjet, Korichi, Ahmed, Brik, Bouziane, Amirat, Hanane
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 03.07.2023; Taylor & Francis Ltd
• Subjects: data dissemination; Data exchange; Intelligent transportation systems; Internet of Vehicles; IoV; Network latency; simulation; Smart city; Taxonomy; Vanet
• ISSN: 1748-9725; 1748-9733
• DOI: 10.1080/17489725.2022.2151658

Internet of vehicles (IoV) is rapidly growing as key enablers of new applications related to Intelligent Transportation System (ITS), including: autonomous driving, teleoperation, cooperative manoeuvre and perception, etc. The design of such new applications relies mainly on the performance of data dissemination techniques, which enable vehicles to exchange data with their surroundings. In fact, these new applications are coming with new requirements such as ultra-low latency, high bandwidth and communication reliability. This limits also the use of data dissemination techniques designed for traditional vehicular network, especially with the increasing number of connected vehicles on roads. In this paper, we review a taxonomy of data dissemination techniques for IoV based on four new classes: networking-based class, intelligent-based class, traditional-based class, and hybrid class. Furthermore, the paper not only reviews some recent contributions addressing data dissemination in IoV, but also emphasis their enabling technologies, services, architectures, their used simulation tools, and open challenges.