Vehicular Social Networks: A Survey
Abstract
A Vehicular Social Network (VSN) is an emerging field of communication where relevant concepts are being borrowed from two different disciplines, i.e., vehicular ad-hoc networks (VANETs) and mobile social networks (MSNs). This emerging paradigm presents new research fields for content sharing, data dissemination, and delivery services. Based on social network analysis (SNA) applications and methodologies, interdependencies of network entities can be exploited in VSNs for prospective applications. VSNs involve social interactions of commuters having similar objectives, interests, or mobility patterns in the virtual community of vehicles, passengers, and drivers on the roads. In this paper, considering social networking in a vehicular environment, we investigate the prospective applications of VSNs and communication architecture. VSNs benefit from the social behaviors and mobility of nodes to develop novel recommendation systems and route planning. We present a state-of-the-art literature review on socially-aware applications of VSNs, data dissemination, and mobility modeling. Further, we give an overview of different recommendation systems and path planning protocols based on crowdsourcing and cloud-computing with future research directions.
Recommended Citation
A. Rahim et al., "Vehicular Social Networks: A Survey," Pervasive and Mobile Computing, vol. 43, pp. 96 - 113, Elsevier, Jan 2018.
The definitive version is available at https://doi.org/10.1016/j.pmcj.2017.12.004
Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Distributed computer systems; Fiber optic sensors; Information dissemination; Motion planning; Recommender systems; Social networking (online); Transportation; Virtual reality; Communication architectures; Future research directions; Mobile social network (MSNs); Security; Selfishness; Socially aware networking; Vehicular Adhoc Networks (VANETs); Vehicular social networks; Vehicular ad hoc networks; Recommendation systems
International Standard Serial Number (ISSN)
1574-1192
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Elsevier, All rights reserved.
Publication Date
01 Jan 2018
Comments
This work was partially supported by the Natural Science Foundation of China under Grants (61572106 , 61502075), the Natural Science Foundation of Liaoning Province, China (201602154), the Dalian Science and Technology Planning Project under Grant (2015A11GX015 , 2015R054), and the US National Science Foundation Grants (CNS-1545037, CNS-1545050, DGE-1433659, IIS-1404673).