SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Farooq, W., Khan, M. A. and Rehman S. (2016) A Cluster Based Multicast Routing Protocol for Autonomous Unmanned Military Vehicles (AUMVs) Communication in VANET. 2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), Quetta, 11-12 April 2016, 42-48.

has been cited by the following article:

  • TITLE: Pre-Emptive Traffic Management for a Cluster-Based TDMA System in Vehicular Communications

    AUTHORS: Nyoman W. Prasetya, Tsang-Ling Sheu, Achmad Basuki, Muhammad Aziz Muslim

    KEYWORDS: VANET, Cluster-Based TDMA, MAC, QoS, Priority

    JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.1, January 6, 2017

    ABSTRACT: The IEEE 802.11p is a standard in a vehicular communication system, known as Wireless Access in Vehicular Environment (WAVE). An implementation of that standard as the MAC Protocol in a high-density of nodes in Vehicular Ad-Hoc Networks (VANETs) may create a performance drawback, in particular for packet loss and delay whenever collisions happen. Introducing Time Division Multiple Access (TDMA) schemes can improve the performance. However, TDMA scheduling is difficult to manage the case of high-density of traffic, the high mobility of vehicles, and dynamic network topology. This journal proposes a clustered-based TDMA by traffic priority in VANETs. The clustered traffic is defined as high and low traffic priority and embedded in TDMA MAC Header. The evaluation result obtained through NS3 Simulator shows that the proposed approach performed better in a high-density of nodes.