Title: Minimum chunk-transmission delay for active safe driving in vehicular ad-hoc networks

Authors: Ben-Jye Chang; Ying-Hsin Liang; Cheng-Hsin Liu

Addresses: Department of Computer Science and Information Engineering National Yunlin University of Science and Technology, Yunlin, 640, Taiwan ' Department of Multimedia Animation and Application, Nan Kai University of Technology, Nantou, 542, Taiwan ' Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, 413, Taiwan

Abstract: The active safe driving application offers real-time video streaming services and emergency messages to improve the driving safety in intelligent transportation system (ITS). As the required video and EM quality increasing, the constraints of packet delay, packet loss rate and the bandwidth of packet transmissions become critically in vehicular ad-hoc network (VANET). Multicasting is adopted to reduce the bandwidth waste rate. Although the multicasting VANET can adopt the retransmissions of lost chunks, it yields a long multicasting delay and wastes bandwidth for re-sending the successful video chunks. This paper proposes a peer-to-peer (P2P) network to cooperate with the multicast VANET to reload the lost or unconfirmed chunks timely. The chunk with the least delay to the lost-chunk node is selected as the optimal compensating chunk. Numerical results demonstrate DGR outperforms the compared approaches in successful chunk reload rate, average chunk delay, and chunk delivery ratio. DGR minimises the chunk compensation delay and bandwidth waste rate.

Keywords: multicast VANETs; P2P-based chunk reloading; real-time video streaming; least-delay guarantee; transmission delay; safe driving; vehicular ad-hoc networks; vehicle safety; emergency messages; intelligent transport systems; ITS; packet delay; packet loss; bandwidth; peer-to-peer networks; P2P networks.

DOI: 10.1504/IJAHUC.2017.082515

International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.24 No.3, pp.147 - 161

Received: 17 Sep 2013
Accepted: 23 Apr 2014
Published online: 28 Feb 2017 *

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