| 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. |
