Enhancing the Performance of Vehicle-to-Vehicle Realtime Video Streaming for Platoons

Seungho Kuk, Hyogon Kim, Yongtae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Platooning is nowadays one of the most promising applications for vehicle-to-vehicle communications. Platooning makes multiple vehicles travel as closely as possible to get the maximum driving efficiency. The problem here is that the view of the rear vehicle driver may be blocked by the front vehicle. In order to improve rear driver's safety and psychological stability, video streaming among vehicles aims to provide the front view of the platoon leader to rear vehicle drivers. In this paper, we first focus on measurement of realtime video streaming performance using IEEE 802.11p broadcast in the platoon. As a result, packet delivery ratio dropped to 48 % in the worst case that the collision and hidden terminal problem coexist. To mitigate the frame loss, we use pseudobroadcast that can recover frames by retransmission instead of broadcast. In addition, we employ Request-To-Send/Clear-ToSend whose transmission power increased by 5 dB to solve the hidden terminal problem. Consequently, we can prevent the frame loss and increase the packet delivery ratio up to 96.8 %. Our proposal enables vehicle-to-vehicle communications to exploit a new method integrating characteristics of unicast and broadcast to solve this problem. Besides, our proposal can easily apply to existing devices by updating a device driver without any hardware chip level modification.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Vehicles Symposium, IV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538644522
Publication statusPublished - 2018 Oct 18
Event2018 IEEE Intelligent Vehicles Symposium, IV 2018 - Changshu, Suzhou, China
Duration: 2018 Sept 262018 Sept 30

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings


Other2018 IEEE Intelligent Vehicles Symposium, IV 2018
CityChangshu, Suzhou

Bibliographical note

Funding Information:
*This research was supported by a grant (18CTAP-C133064-02) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government S. Kuk, H. Kim, and Y. Park are with Computer Science and Engineering, Korea University, 145 Anamro, Seongbuk-gu, Seoul, Republic of Korea.

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation


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