IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17–18, 2018, Proceedings

Research Article

A Novel Next-Hop Selection Scheme Based on GPSR in VANETs

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  • @INPROCEEDINGS{10.1007/978-3-030-14657-3_11,
        author={Ruiyan Han and Jinglun Shi and Farhad Banoori and Weiqiang Shen},
        title={A Novel Next-Hop Selection Scheme Based on GPSR in VANETs},
        proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings},
        proceedings_a={IOTAAS},
        year={2019},
        month={3},
        keywords={VANETs Next-hop selection GPSR},
        doi={10.1007/978-3-030-14657-3_11}
    }
    
  • Ruiyan Han
    Jinglun Shi
    Farhad Banoori
    Weiqiang Shen
    Year: 2019
    A Novel Next-Hop Selection Scheme Based on GPSR in VANETs
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-14657-3_11
Ruiyan Han1,*, Jinglun Shi1,*, Farhad Banoori1, Weiqiang Shen2
  • 1: South China University of Technology
  • 2: Jinan University
*Contact email: eeeehry@mail.scut.edu.cn, shijl@scut.edu.cn

Abstract

Vehicle ad-hoc networks (VANETs) are becoming the mainstream of network research recently. However, due to the high mobility of vehicles, dynamically changing topology and highly partitioned network, it is a challenge to overcome these shortcomings to guarantee a reliable link and efficient data delivery. In this paper, we present an improved scheme for the selection of next-hop based on greedy perimeter stateless routing (GPSR). The routing decision zone based on the concept which combines node mobility with message forwarding direction is introduced to avoid the node selected as next hop driving away from the neighborhood of the forwarder during communication. Our proposed protocol adaptively sets the size of the routing decision zone in each hop based on the dynamic forward neighbor information, including speed and one-hop transmission delay, and then consequently selects the next hop based on the position information and the routing decision zone. Simulation results show that our algorithm with low-delay performance is effective in some cases.