• DocumentCode
    676880
  • Title

    Reliable routing strategy for data communication in vehicular adhoc networks

  • Author

    Cloudin, S. ; Kalairani

  • Author_Institution
    Dept. of Comput. Sci. & Eng., KCG Coll. of Technol., Chennai, India
  • fYear
    2012
  • fDate
    27-29 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    VANET is a network formed by vehicles communicating among themselves for safety and comfort messages. In VANET, high speed of nodes and dynamic change in topology directly impacts the network that has to deliver the data. Routing is a major issue in case an exchange of data packet uses an invalid path. This work is going to overcome the dropping of data packet by selecting an optimal path. Path can be selected based on two parameters such as speed and vehicle´s position. These parameters are used by ant colony optimization (Bio-inspired) procedures in order to provide routing decisions. In an existing work, nodes in cluster lead to resource consumption such as buffer where all the nodes in the cluster has maintained buffer for data delivery. The proposed scheme is being used for mitigating the resource consumption by keeping the buffer only at the cluster head and also it employs autonomous clustering procedures. Finally, the proposed algorithm SI-DYMO performance is going to be compared with the AODV with respect to data delivery ratio, delay, transmission cost and throughput.
  • Keywords
    ant colony optimisation; telecommunication network routing; vehicular ad hoc networks; AODV; SI-DYMO performance; VANET; ant colony optimization; autonomous clustering procedures; data communication; data delivery ratio; data packet; reliable routing strategy; resource consumption; vehicular adhoc networks; Swarm Intelligence-DYMO; inter and intra clustering; pheromone; routing;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
  • Conference_Location
    Tiruchengode
  • Electronic_ISBN
    978-1-84919-797-7
  • Type

    conf

  • DOI
    10.1049/cp.2012.2253
  • Filename
    6719159