Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

Research Article

Mobility Models-Based Performance Evaluation of the History Based Prediction for Routing Protocol for Infrastructure-Less Opportunistic Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-11569-6_66,
        author={Sanjay Dhurandher and Deepak Sharma and Isaac Woungang},
        title={Mobility Models-Based Performance Evaluation of the History Based Prediction for Routing Protocol for Infrastructure-Less Opportunistic Networks},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013,  Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2014},
        month={12},
        keywords={OppNets Opportunistic routing Infrastructure-less protocol Delay tolerant networks The ONE (Opportunistic Network) simulator Mobility models},
        doi={10.1007/978-3-319-11569-6_66}
    }
    
  • Sanjay Dhurandher
    Deepak Sharma
    Isaac Woungang
    Year: 2014
    Mobility Models-Based Performance Evaluation of the History Based Prediction for Routing Protocol for Infrastructure-Less Opportunistic Networks
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-319-11569-6_66
Sanjay Dhurandher1,*, Deepak Sharma1,*, Isaac Woungang2,*
  • 1: University of Delhi
  • 2: Ryerson University
*Contact email: dhurandher@rediffmail.com, dk.sharma1982@yahoo.com, iwoungan@scs.ryerson.ca

Abstract

In Opportunistic Networks (OppNets), the sender and receiver of a packet are not assumed to be connected with each other through an end-to-end continuous path. They exploit the contact opportunity that arises between the nodes due to their mobility to pass the messages from one place to another in the network. They do not rely on any pre-existing topology; rather they belong to a dynamic network topology. In this paper, the performance of our recently proposed History-Based Prediction for Routing protocol for infrastructure-less OppNets (so-called HBPR) is evaluated on two different mobility models – the Random Waypoint (RWP) and the Custom Human Mobility Model (CHMM). The HBPR protocol is evaluated against four performance metrics, namely, the number of messages delivered, the overhead ratio, the average hop count, and the average latency. Simulation results show a significant decline in the performance of HBPR for the RWP model compared to the CHMM model.