W10: Autonomous Vehicular Networking (WAVN)

Workshop Organizer: Jie Gao, Marquette University, USA
Workshop Organizer: Tom H. Luan, Xidian University, China
Workshop Organizer: Hongbin Liang, Southwest Jiaotong University, China
Workshop Organizer: Lian Zhao, Ryerson University, Canada

Abstract: The autonomous driving is coming. Notably, newly all car manufactures have implemented the Level 2 autonomous driving in their new car models including lane centering, adaptive emergency braking. The Tesla has released Free Self-Driving 2 package on their cars which enables Level 4 autonomous driving in the city. In the meantime, 3GPP released NR CV2X in 2017 to promote the inter-vehicular communications. The enhanced computing facility, fast evolving artificial intelligence
technology, coupled with the standardized radio interface, has provide new possibilities for vehicular communications. This workshop hunts for new ideas, proposals and architecture that involve the new technologies into the design of more intelligence, efficient and secured vehicular communications.

Jie Gao Bio: Jie Gao received the BEng degree in electronics and information engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2007, and the MSc and PhD degrees in electrical engineering from the University of Alberta, Edmonton, Alberta, Canada, in 2009 and 2014, respectively. He is currently a research associate with the Department of Electrical & Computer Engineering, University of Waterloo. He was a recipient of Natural Science and Engineering Research Council of Canada Postdoctoral Fellowship, Ontario Centres of Excellence Talent Edge Fellowship, and Alberta Innovates- Technology futures graduate student scholarship. His research interests include the application of optimization, game theory and mechanism design, and machine learning in wireless communication networks and systems.

Tom H. Luan Bio: Tom H. Luan received the B.E. degree from the Xi’an Jiaotong University, China, in 2004, the Master 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. During 2013 to 2017, Dr. Luan was a Lecturer in Mobile and Apps at the Deakin University, Australia. Since 2017, he is with the School of Cyber Engineering in Xidian University, China, as a professor. His research mainly focuses on the content distribution and media streaming in vehicular ad hoc networks and peer-to-peer networking, and protocol design and performance evaluation of wireless cloud computing and fog computing.

Hongbin Liang Bio: Hongbin Liang received the B.Sc. degree in communication engineering from the Beijing University of Post and Telecommunication, Beijing, China, in 1995, and the M.Sc. and Ph.D. degrees in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2001 and 2012, respectively. He is currently an Associate Professor with the School of Transportation and Logistics, Southwest Jiaotong University. From 2001 to 2009, he was a Software Engineer with the Motorola R&D Center of China, where he focused on system requirement analysis and thirdgeneration partnership project protocol analysis. From 2009 to 2011, he was a Visiting Ph.D. student with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. His current research interests focus on resource allocation, quality of service, security and efficiency in cloud computing, vehicular networking, and wireless sensor networks.

Lian Zhao Bio: Lian Zhao received the PhD degree from the Department of Electrical and Computer Engineering (ELCE), University of Waterloo, Canada, in 2002. She joined the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada, in 2003 and has been a professor in 2014. Her research interests include the areas of wireless communications, radio resource management, mobile edge computing, caching and communications, and vehicular ad-hoc networks. She has been selected as an IEEE Communication Society (ComSoc) distinguished lecturer (DL) for 2020 and 2021; received the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2016; Top 15 editor in 2015 for the IEEE Transaction on Vehicular Technology; Best Paper Award from the 2013 International Conference on Wireless Communications and Signal Processing (WCSP) and Best Student Paper Award (with her student) from Chinacom in 2011; the Canada Foundation for Innovation (CFI) New Opportunity Research Award in 2005. She has been serving as an editor for the IEEE Transactions on Vehicular Technology, the IEEE Transactions on Wireless Communications, the IEEE Internet of Things Journal. She served as co-general chair for IEEE GreeenCom 2018; co-chair for IEEE Globecom 2020 and IEEE ICC 2018 Wireless Communication Symposium; workshop co-chair for IEEE/CIC ICCC 2015; local arrangement co-chair for IEEE VTC Fall 2017 and IEEE Infocom 2014; co-chair for IEEE Global Communications Conference (GLOBECOM) 2013 Communication Theory Symposium.
She served as a committee member for NSERC (Natural Science and Engineering Research Council of Canada) Discovery Grants Evaluation Group for Electrical and Computer Engineering 2015 to 2018; a chair for the Professional Relations Committee (PRC) for IEEE Canada for 2020. She is a licensed Professional Engineer in the Province of Ontario, a senior member of the IEEE Communication and Vehicular Society.

Workshop Program

Part 1 – Opening / Welcome

Part 2 – Keynote Speaker – Zhiyong Feng, Beijing University of Posts and Telecommunications

Part 3 – Keynote Speaker – Richard Yu, Carleton University

Part 4 – Technical Paper – A Game Theoretical Approach To Model VehicularBroadcast Communication

Part 5 – Technical Paper – An Efficient Lightweight Anonymous Authentication Scheme for V2G Using Physical Unclonable Function

Part 6 – Technical Paper – BACPPA: An Effective Blockchain-Assisted Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks

Part 7 – Technical Paper – Deep Learning Based Traffic Flow Prediction for Autonomous Vehicular Mobile Networks

Part 8 – Technical Paper – Efficient Authentication for Vehicular Digital Twin Communications

Part 9 – Technical Paper – Task Offloading Scheduling and Resource Allocation in Vehicular Edge Computing

Part 10 – Technical Paper – Taxi Dispatch and AEV Management in AEV Taxi Services

Part 11 – Closing Remarks