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An Intelligent Context-aware Congestion Resolution Protocol for Data Dissemination in Vehicular Ad Hoc Networks
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  • 作者：Amit Dua (1)
    Neeraj Kumar (1)
    Seema Bawa (1)
    Joel J. P. C. Rodrigues (2)

    1. Department of Computer Science and Engineering     ; Thapar University ; Patiala ; Punjab ; India
    2. Instituto de Telecomunica莽玫es     ; University of Beira Interior ; Portugal & ITMO University ; St. Petersburg ; Russia
  • 关键词：Contention resolution ; VANET ; Routing ; Multipath
  • 刊名：Mobile Networks and Applications
  • 出版年：2015
  • 出版时间：April 2015
  • 年：2015
  • 卷：20
  • 期：2
  • 页码：181-200
  • 全文大小：3,543 KB
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  • 刊物类别：Computer Science
  • 刊物主题：Computer Communication Networks
    Electronic and Computer Engineering
    Business Information Systems
  • 出版者：Springer Netherlands
  • ISSN：1572-8153
文摘
With high velocity, and sparse distribution of vehicles on the road, routing a packet to its destination is one of the major challenges in Vehicular Ad Hoc Networks (VANETs). To reduce the complexity of transmissions, only context-aware data is required for successful transfer of alerts to the passengers as unnecessary information may cause a performance bottleneck at some point in VANETs. To address this issue, in this paper, we propose a new context-aware congestion resolution protocol called as-minimum calculated desired time (MCDT) for Intelligent Data Dissemination in VANETs. In the proposed scheme, first the link stability is computed and then, a peak stable zone is constructed which is used to estimate the virtual connectivity of the nodes. A module for recovery of lost link using minimum angle method is also proposed. The proposed scheme can be used for vast industrial applications, where there is a need of contextual-aware information dissemination with less delay, and higher accuracy. The proposed scheme is evaluated in different network scenarios by varying the parameters such as velocity, and density of the vehicles. The results obtained yield an improvement of more than 90 % in end-to-end delay (E2ED), 11.75 % in download speed, 7 % enhanced resource utilization, and a decrease of 16 % in overhead in the proposed scheme as compared to other state-of-the-art existing schemes.

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