Testbeds and Research Infrastructures for the Development of Networks and Communities. 11th International Conference, TRIDENTCOM 2016, Hangzhou, China, June 14-15, 2016, Revised Selected Papers

Research Article

An Optimized Probabilistic Routing Protocol Based on Scheduling Mechanism for Delay Tolerant Network

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  • @INPROCEEDINGS{10.1007/978-3-319-49580-4_14,
        author={Yuxin Mao and Chenqian Zhou and Jaime Lloret},
        title={An Optimized Probabilistic Routing Protocol Based on Scheduling Mechanism for Delay Tolerant Network},
        proceedings={Testbeds and Research Infrastructures for the Development of Networks and Communities. 11th International Conference, TRIDENTCOM 2016, Hangzhou, China, June 14-15, 2016, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2017},
        month={1},
        keywords={Scheduling mechanism Routing Delay Tolerant Network ONE simulator},
        doi={10.1007/978-3-319-49580-4_14}
    }
    
  • Yuxin Mao
    Chenqian Zhou
    Jaime Lloret
    Year: 2017
    An Optimized Probabilistic Routing Protocol Based on Scheduling Mechanism for Delay Tolerant Network
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-319-49580-4_14
Yuxin Mao1,*, Chenqian Zhou1, Jaime Lloret2
  • 1: Zhejiang Gongshang University
  • 2: Universidad Politecnica de Valencia
*Contact email: maoyuxin@zjgsu.edu.cn

Abstract

How to achieve efficient data transmission in delay tolerant network (DTN) is an important issue to many wireless or mobile systems. In this study, we propose a new routing protocol to improve delivery rate and optimize delivery delay with low overhead in DTN. We extend the classic PROPHET routing protocol by a scheduling policy to increase delivery rate and reduce delivery delay in DTN. We try to improve the performance of traditional PROPHET from both storage and transmission. Moreover, we evaluate the performance of the scheduling protocol by ONE Simulator. The simulation result illustrates that the proposed protocol is able to achieve better performance compared with the classic protocols like PROPHET and Epidemic in several key aspects.