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(September 20)Feel Bored? Join Verse! Engineering Vehicular Proximity Social Network
Sep 20, 2016


Feel  Bored? Join Verse! Engineering Vehicular Proximity Social Network


Dr. Tom YUAN


10:30, September 20,  2016


609, New  Science & Technology Building, North Campus

Lecturer  Profile

Dr.  Luan is associated with the Deakin University in Melbourne, Australia, as a  Lecturer at the School of Information Technology. He received the B.E. degree  from the Xi'an Jiaotong University, China, in 2004, the Master of Philosophy  degree from the Hong Kong University of Science and Technology, Hong Kong, in  2007, and the Ph.D. degree from the University of Waterloo, Canada, in 2012,  all in Electrical and Computer Engineering. Dr. Luan’s research mainly focuses  on the content distribution and media streaming in the vehicular ad hoc  networks and peer-to-peer networking, protocol design and performance  evaluation of wireless cloud computing and fog computing. Dr. Luan has  authored/coauthored 25 journal papers and 18 technical papers in conference  proceedings, and awarded one US patent. He served as a TPC member for IEEE  Globecom, ICC, PIMRC and the technical reviewer for multiple IEEE Transactions  including TMC, TPDS, TVT, TWC and ITS.

Lecture  Abstract

Travellers  in vehicles often have strong willingness to share their travel experience and  exchange information to each other through social networks, such as Facebook  and Twitter. This, however, can be costly due to the limited connections to  Internet on the road. In this talk, we present 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.Verse is equipped with a  social-aware rate control scheme which adapts the data transmission rates of  vehicles based on their social impacts towards efficient utilization of network  bandwidth. Using 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.

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