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Predict and Forward: An Efficient Routing-Delivery Scheme Based on Node Profile in Opportunistic Networks

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  • Kanghuai Liu

    (School of Software, Central South University, Changsha 410075, China
    “Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China)

  • Zhigang Chen

    (School of Software, Central South University, Changsha 410075, China
    “Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China)

  • Jia Wu

    (School of Software, Central South University, Changsha 410075, China
    “Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China)

  • Yutong Xiao

    (School of Software, Central South University, Changsha 410075, China
    “Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China)

  • Heng Zhang

    (School of Software, Central South University, Changsha 410075, China
    “Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China)

Abstract

In the social scene of opportunistic networks, message applications find suitable relay nodes or certain transmission destinations from the surrounding neighbors through specific network addresses of users. However, at the dawn of big data and 5G networks, the variational location information of nodes is difficult to be available to mobile devices all the time, and a long wait for the destination may cause severe end-to-end delay. To improve the transmission environment, this study constructs an efficient routing-delivery scheme (Predict and Forward) based on node profile for the opportunistic networks. The node profile effectively characterizes nodes by analyzing and comparing their attributes instead of network addresses, such as physical characteristics, places of residence, workplaces, occupations or hobbies. According to the optimal stopping theory, this algorithm implements the optimal transmission for Prelearn messages by dividing the complex data transmission process into two different phases (Predict and Forward). Through simulations and the comparison of routing algorithms in opportunistic networks, the proposed strategy increases the delivery ratio by 80% with the traditional methods on average, and the average end-to-end delay in this algorithm is the lowest.

Suggested Citation

  • Kanghuai Liu & Zhigang Chen & Jia Wu & Yutong Xiao & Heng Zhang, 2018. "Predict and Forward: An Efficient Routing-Delivery Scheme Based on Node Profile in Opportunistic Networks," Future Internet, MDPI, vol. 10(8), pages 1-19, August.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:8:p:74-:d:162179
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    References listed on IDEAS

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    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
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    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
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    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
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    Cited by:

    1. Asanga Udugama & Jens Dede & Anna Förster & Vishnupriya Kuppusamy & Koojana Kuladinithi & Andreas Timm-Giel & Zeynep Vatandas, 2019. "My Smartphone tattles: Considering Popularity of Messages in Opportunistic Data Dissemination," Future Internet, MDPI, vol. 11(2), pages 1-25, January.
    2. Vishnupriya Kuppusamy & Udaya Miriya Thanthrige & Asanga Udugama & Anna Förster, 2019. "Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices," Future Internet, MDPI, vol. 11(5), pages 1-26, May.

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