EVAC-AV

The live road surveillance control scheme using an effective-vision-area-based clustering algorithm with the adaptive video-streaming technique

Chung-Ming Huang, Han Lin Wang, Huan Zhou, Shouzhi Xu, Dong Ren

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A new type of safety service in vehicular ad hoc networks (VANETs) is live road surveillance (LRS) video streaming. However, video streaming is a high-bandwidth-demanded service and causes network congestion if there are many vehicles that stream video in the wireless network at the same time. Clustering is an efficient technique to relieve network congestion in VANET because it can reduce the number of vehicles to transmit data. The adaptive video-streaming technology can also relieve the aforementioned problem based on monitoring the wireless network's utilization situation. This paper proposes to provide the LRS service using an effective-vision-area-based clustering algorithm with the adaptive video-streaming technique (EVAC-AV) based on the effective vision of the cameras in vehicles. EVAC-AV can construct clusters such that a driver X can join a suitable cluster to get the LRS service from the appropriate vehicle ahead of X to have additional vision. Additionally, the adaptive video-streaming technique is adopted to have an adaptive LRS video quality in EVAC-AV based on the IEEE 802.11p wireless network's utilization condition. In this paper, we compare the proposed EVAC-AV control scheme for LRS service with the following: 1) other LRS service schemes that did not adopt the clustering mechanism and 2) other clustering algorithms in terms of different performance metrics to prove EVAC-AV's effectiveness.

Original languageEnglish
Article number7047780
Pages (from-to)1228-1238
Number of pages11
JournalIEEE Systems Journal
Volume11
Issue number3
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

Video streaming
Clustering algorithms
Wireless networks
Vehicular ad hoc networks
Cameras
Bandwidth
Monitoring

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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abstract = "A new type of safety service in vehicular ad hoc networks (VANETs) is live road surveillance (LRS) video streaming. However, video streaming is a high-bandwidth-demanded service and causes network congestion if there are many vehicles that stream video in the wireless network at the same time. Clustering is an efficient technique to relieve network congestion in VANET because it can reduce the number of vehicles to transmit data. The adaptive video-streaming technology can also relieve the aforementioned problem based on monitoring the wireless network's utilization situation. This paper proposes to provide the LRS service using an effective-vision-area-based clustering algorithm with the adaptive video-streaming technique (EVAC-AV) based on the effective vision of the cameras in vehicles. EVAC-AV can construct clusters such that a driver X can join a suitable cluster to get the LRS service from the appropriate vehicle ahead of X to have additional vision. Additionally, the adaptive video-streaming technique is adopted to have an adaptive LRS video quality in EVAC-AV based on the IEEE 802.11p wireless network's utilization condition. In this paper, we compare the proposed EVAC-AV control scheme for LRS service with the following: 1) other LRS service schemes that did not adopt the clustering mechanism and 2) other clustering algorithms in terms of different performance metrics to prove EVAC-AV's effectiveness.",
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EVAC-AV : The live road surveillance control scheme using an effective-vision-area-based clustering algorithm with the adaptive video-streaming technique. / Huang, Chung-Ming; Wang, Han Lin; Zhou, Huan; Xu, Shouzhi; Ren, Dong.

In: IEEE Systems Journal, Vol. 11, No. 3, 7047780, 01.09.2017, p. 1228-1238.

Research output: Contribution to journalArticle

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