The 1st IEEE International Workshop on Advances in Vehicular Networks (IWAIVN 2019)
In conjunction with 16th IEEE International Conference on Mobile Ad-hoc Sensor Systems (IEEE MASS 2019)
Monterey, CA, USA, November 4 - 7, 2019
Recent rapid advances in Mobile Ad-hoc Networks, Wireless Networks, and Sensor Devices have introduced Vehicular Network as an interesting topic to the research community, one that has received much attention from practitioners, scholars, and the public. The Vehicular Network, also known as Inter-Vehicle Communication Network, focuses on the spontaneous creation of a wireless communication network among vehicles, and further providing better transportation for users. Considering that we are in the era of Intelligence, many technologies and applications emerge to develop a more sustainable, efficient, and safe transportation system, such as smart traffic management systems and autonomous car systems. However, there are still many open research problems in this field, such as security and privacy issues during the data communication, green vehicle routing, and the integration of sensors, vehicular network, data center, and the existing transportation systems. To this end, this workshop aims to create a platform for scholars, industry professionals, and government officials to discuss and share new research idea and technologies in the Vehicular Network and its applications.
Original, unpublished contributions are solicited in all aspects of Vehicular Networks from theory to systems and applications. Topics of interest include, but are not limited to:
General Chairs:
If you have any questions about this workshop, please contact the following email address: iwaivn2019<AT>easychair<DOT>org
Please note that at least one author of each accepted paper needs to register and present the paper at the workshop. The registration deadline is Oct 15th, 2019.
Please refer to the main conference IEEE MASS 2019 for hotel and local information.
Vinayak Tanksale (Purdue University, United States)
Carl Cheng, Yu Shen and Patrick Liu (XSense.ai, United States)
Emad Felemban and Adil Sheikh (Umm Al-Qura University, Saudi Arabia)
Yunsheng Wang, Kettering University, USA
Behrad Toghi, University of Central Florida, USA
Bo Chen, Michigan Technological University, USA
Dawei Li, Montclair State University, USA
Qin Liu, Hunan University, China
Yanchao Zhao, Nanjing University of Aeronautics & Astronautics, China
Chao Song, University of Electronic Science and Technology of China, China
Muhammad Usman Sheikh, Aalto University, Finland
Luca Bedogni, University of Bologna, Italy