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Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices

Author

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  • Vishnupriya Kuppusamy

    (Sustainable Communication Networks, University of Bremen, 28359 Bremen, Germany)

  • Udaya Miriya Thanthrige

    (Sustainable Communication Networks, University of Bremen, 28359 Bremen, Germany)

  • Asanga Udugama

    (Sustainable Communication Networks, University of Bremen, 28359 Bremen, Germany)

  • Anna Förster

    (Sustainable Communication Networks, University of Bremen, 28359 Bremen, Germany)

Abstract

A variety of applications and forwarding protocols have been proposed for opportunistic networks (OppNets) in the literature. However, the methodology of evaluation, testing and comparing these forwarding protocols are not standardized yet, which leads to large levels of ambiguity in performance evaluation studies. Performance results depend largely on the evaluation environment, and on the used parameters and models. More comparability in evaluation scenarios and methodologies would largely improve also the availability of protocols and the repeatability of studies, and thus would accelerate the development of this research topic. In this survey paper, we focus our attention on how various OppNets data forwarding protocols are evaluated rather than what they actually achieve. We explore the models, parameters and the evaluation environments and make observations about their scalability, realism and comparability. Finally, we deduce some best practices on how to achieve the largest impact of future evaluation studies of OppNets data dissemination/forwarding protocols.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:5:p:113-:d:230248
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Jorge Visca & Javier Baliosian, 2022. "rl4dtn: Q-Learning for Opportunistic Networks," Future Internet, MDPI, vol. 14(12), pages 1-17, November.
    2. Mishra, Neermegha & Kastner, Marvin & Jahn, Carlos, 2022. "Marine communication for shipping: Using ad-hoc networks at sea," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 523-557, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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