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Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings

Research Article

Pre-handover Mechanism in the Internet of Vehicles Based on Named Data Networking

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  • @INPROCEEDINGS{10.1007/978-3-030-99200-2_26,
        author={Gaixin Wang and Zhanjun Liu and Qianbin Chen},
        title={Pre-handover Mechanism in the Internet of Vehicles Based on Named Data Networking},
        proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings},
        proceedings_a={CHINACOM},
        year={2022},
        month={4},
        keywords={Named data networking Internet of Vehicles Predication Forwarding},
        doi={10.1007/978-3-030-99200-2_26}
    }
    
  • Gaixin Wang
    Zhanjun Liu
    Qianbin Chen
    Year: 2022
    Pre-handover Mechanism in the Internet of Vehicles Based on Named Data Networking
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-99200-2_26
Gaixin Wang1,*, Zhanjun Liu1, Qianbin Chen1
  • 1: School of Communication and Information Engineering
*Contact email: wgx151307331@163.com

Abstract

Named Data Networking (NDN) is considered to be one of the most promising designs for the next generation of network architecture. Vehicles are typically interested in the content itself than the location of the host. Owing to the content-centric attributes, NDN can support highly dynamic topologies more than the traditional host-centric communication mode. So it will be widely used in vehicluar networks. The moving vehicles are constantly handover between different roadside units (RSU), which affects the backhaul of data packets and increases transmission delay. Therefore handover in Internet of Vehicles (IoV)-based NDN is a challenge to be solved. In order to improve communication quality, this paper proposes a pre-handover forwarding mechanism based on RSU level and content popularity by establishing a probability model. Routing data packets in advance by predicting whether the content requested by the vehicle is cached in the RSU after handover. Thus the mechanism not only reduces delay, but also solves the problem of packet loss caused by network topology changes. In addition, in order to further improve content retrieval efficiency and reduce delay, this paper also proposes a method based on the tabu search (TS) algorithm to quickly search for the target vehicle within the coverage of the RSU. Simulation results show that the mechanism proposed in this paper outperforms existing related mechanisms in terms of average delay and delivery rate.

Keywords
Named data networking Internet of Vehicles Predication Forwarding
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_26
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