Analysis of Small-World Features in Vehicular Social Networks

Abstract : The Internet-of-Vehicles (IoV) allows vehicles to share information for common services, such as traffic status or safety alerts, not only among themselves but also with neighboring devices and users. Vehicular Social Networks (VSNs) appear when IoVs is combined with social features like chat, sharing achievements, wish-listings, etc. In this work, we demonstrate that VSNs require specific data dissemination techniques. To this aim, we consider the Barabási model and we study the impact of its use for data dissemination in VSNs. Moreover, the use of a probabilistic data dissemination protocol based on social features [1] proves that the time-evolving dynamics of the vehicular social network graph presents a small-world structure, where nodes tend to connect through clusters whose average distance is low on average. This result highlights how VSNs are a specific class of vehicular ad hoc networks with peculiar features that distinguish them from classical online social networks.
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Contributor : Valeria Loscri <>
Submitted on : Thursday, November 22, 2018 - 3:30:11 PM
Last modification on : Thursday, February 7, 2019 - 4:54:24 PM
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  • HAL Id : hal-01907422, version 1



Anna Vegni, Valeria Loscri, Pietro Manzoni. Analysis of Small-World Features in Vehicular Social Networks. CCNC 2019 - IEEE Consumer Communications & Networking Conference, Jan 2019, Las Vegas, United States. ⟨hal-01907422⟩



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