Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Performance Evaluation of DTN Routing Protocols in Vehicular Network Environment

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_68,
        author={Yongliang Sun and Yinhua Liao and Kanglian Zhao and Chenguang He},
        title={Performance Evaluation of DTN Routing Protocols in Vehicular Network Environment},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={DTN Routing protocol Vehicular network Performance evaluation ONE simulator},
        doi={10.1007/978-3-319-73564-1_68}
    }
    
  • Yongliang Sun
    Yinhua Liao
    Kanglian Zhao
    Chenguang He
    Year: 2018
    Performance Evaluation of DTN Routing Protocols in Vehicular Network Environment
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_68
Yongliang Sun,*, Yinhua Liao1, Kanglian Zhao2, Chenguang He3
  • 1: Nanjing Tech University
  • 2: Nanjing University
  • 3: Harbin Institute of Technology
*Contact email: syl_peter@163.com

Abstract

Compared with the traditional Internet architecture, Delay/Disruption Tolerant Networking (DTN) has a bundle layer between the application layer and transport layer and is able to tolerate delays and disruptions. In this paper, we simulate typical DTN routing protocols and configure a vehicular network environment to evaluate the protocol performance. We compare the performance evaluation indicators that include delivery ratio, overhead ratio, average delay, and average buffer time with different node numbers and buffer sizes. We finish the simulation using Opportunistic Network Environment (ONE) simulator and the DTN routing protocols are evaluated according to the simulation results.