8th International Conference on Communications and Networking in China

Research Article

Vertical Handoff in Vehicular Heterogeneous Networks Using Optimal Stopping Approach

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694653,
        author={Jiawen Kang and Yanrong Chen and Rong Yu and Xing Zhang and Hongbin Chen and Liang Zhang},
        title={Vertical Handoff in Vehicular Heterogeneous Networks Using Optimal Stopping Approach},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={optimal vertical handoff; interface switching;optimal stopping; vehicular heterogeneous networks},
        doi={10.1109/ChinaCom.2013.6694653}
    }
    
  • Jiawen Kang
    Yanrong Chen
    Rong Yu
    Xing Zhang
    Hongbin Chen
    Liang Zhang
    Year: 2013
    Vertical Handoff in Vehicular Heterogeneous Networks Using Optimal Stopping Approach
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694653
Jiawen Kang1, Yanrong Chen2, Rong Yu1,*, Xing Zhang, Hongbin Chen3, Liang Zhang1
  • 1: Guangdong University of Technology
  • 2: South China University of Technology,
  • 3: Guilin University of Electronic Technology
*Contact email: yurong@ieee.org

Abstract

Currently, traditional Vehicular Ad Hoc Networks (VANETs) are evolving towards the vehicular heterogeneous networks. There is an urgent need for vehicular users to apply an efficient and intelligent interface for network switching to meet their QoS requirements. In this paper, we present an optimized algorithm for network interface switching problem in vehicular heterogeneous networks. The policy integrates with multiple metrics including monetary cost, available bandwidth, and data transfer delay. Besides, it is able to accurately predict the distribution of RoadSide Units (RSUs). The optimal stopping theory is leveraged to maximize the users’ satisfaction degree over various user-specified preferences. The results of simulation show that the optimal-stopping-based policy significantly outperforms several existing policies.