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Feel bored? Join Verse! Engineering Vehicular Proximity Social Network

Luan, Tom H., Shen, Xuemin (Sherman), Bai, Fan and Sun, Limin 2015, Feel bored? Join Verse! Engineering Vehicular Proximity Social Network, IEEE transactions on vehicular technology, vol. 64, no. 3, pp. 1120-1131, doi: 10.1109/TVT.2014.2329481.

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Title Feel bored? Join Verse! Engineering Vehicular Proximity Social Network
Author(s) Luan, Tom H.
Shen, Xuemin (Sherman)
Bai, Fan
Sun, Limin
Journal name IEEE transactions on vehicular technology
Volume number 64
Issue number 3
Start page 1120
End page 1131
Total pages 12
Publisher IEEE
Place of publication Piscataway, N. J.
Publication date 2015-03
ISSN 0018-9545
Keyword(s) verse
online social networks
travellers
vehicular social communications
Summary Travellers in vehicles often have strong willingness to share their travel experience and exchange information to each other through social networks2, such as Facebook and Twitter. This, however, can be costly due to the limited connections to Internet on the road. In this paper we develop Verse to facilitate the social communications among vehicle travellers on highways. Verse enables passengers on-board vehicles to share the content information, such as travel blogs with pictures, among each other using the impromptu wireless inter-vehicle communications. Unlike traditional online social networks, which are built upon the reliable IP networks, vehicular social networks face fundamental challenges in that: 1) users are anonymous and strangers to each other and hard to identify potential friends of shared interests, and 2) users communicate through intermittent and unreliable inter-vehicle connections. On addressing the two challenges, Verse implements a friend recommendation function, which helps passengers efficiently identify potential social friends with both shared interests and relatively reliable wireless connections. In addition, Verse is equipped with a social-aware rate control scheme towards efficient utilization of network bandwidth. Using extensive simulations, we show that the friend recommendation function of Verse can effectively predict the mobility of vehicles to assist the social communication, and the social-aware rate control scheme quickly and efficiently adapts the vehicle’s transmission rate according to their social impacts.
Language eng
DOI 10.1109/TVT.2014.2329481
Field of Research 080502 Mobile Technologies
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30064962

Document type: Journal Article
Collection: School of Information Technology
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Created: Tue, 15 Jul 2014, 16:32:33 EST by Tom Luan

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