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Author:

Ullah Sami (Ullah Sami.) | Abbas Ghulam (Abbas Ghulam.) | Waqas Muhammad (Waqas Muhammad.) | Abbas Ziaul Haq (Abbas Ziaul Haq.) | Tu Shanshan (Tu Shanshan.) | Hameed Ibrahim A (Hameed Ibrahim A.)

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Abstract:

In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a maximum number of vehicles with low latency and low packet loss is critical for road safety. However, avoiding the broadcast storm and dealing with large-scale dissemination of EMs in urban VANETs, particularly at intersections, are the challenging tasks. The problems become even more challenging in a dense network. We propose an Effective Emergency Message Dissemination Scheme (EEMDS) for urban VANETs. The scheme is based on our mobility metrics to avoid communication overhead and to maintain a stable cluster structure. Every vehicle takes into account its direction angle and path loss factor for selecting a suitable cluster head. Moreover, we introduce estimated link stability to choose a suitable relay vehicle that reduces the number of rebroadcasts and communication congestion in the network. Simulation results show that EEMDS provides an acceptable end-to-end delay, information coverage, and packet delivery ratio compared to the eminent EM dissemination schemes.

Keyword:

broadcast storms communication congestion clusters road safety flooding vehicular adhoc networks

Author Community:

  • [ 1 ] [Ullah Sami]Telecommunications and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
  • [ 2 ] [Abbas Ghulam]Telecommunications and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
  • [ 3 ] [Waqas Muhammad]Telecommunications and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
  • [ 4 ] [Abbas Ziaul Haq]Telecommunications and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
  • [ 5 ] [Tu Shanshan]Engineering Research Center of Intelligent Perception and Autonomous Control, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Hameed Ibrahim A]Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway

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Source :

Sensors

ISSN: 1424-8220

Year: 2021

Issue: 5

Volume: 21

3 . 9 0 0

JCR@2022

ESI Discipline: CHEMISTRY;

ESI HC Threshold:96

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 40

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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