V3: A vehicle-to-vehicle live video streaming architecture

Authors:
Meng Guo;Mostafa H. Ammar;Ellen W. Zegura
Affiliations:
Networking and Telecommunication Group, College of Computing, Georgia Institute of Technology, 30339Atlanta, GA, United States;Networking and Telecommunication Group, College of Computing, Georgia Institute of Technology, 30339Atlanta, GA, United States;Networking and Telecommunication Group, College of Computing, Georgia Institute of Technology, 30339Atlanta, GA, United States
Venue:
Pervasive and Mobile Computing
Year:
2005

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Abstract

We propose V3, an architecture to provide a live video streaming service to driving vehicles through vehicle-to-vehicle (V2V) networks. V2V video streaming is challenging because: (1) the V2V network may be persistently partitioned; (2) the video sources are mobile and transient. V3 addresses these challenges by incorporating a novel signaling mechanism to continuously trigger vehicles into video sources. It also adopts a store-carry-and-forward approach to transmit video data in partitioned network environments. We first propose an initial design which supports video streaming to a single receiver. We then propose a multicasting framework that enables video streaming from multiple sources to multiple receivers. Simulation experiments demonstrate the feasibility of supporting V2V video streaming with acceptable performance.