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My Smartphone tattles: Considering Popularity of Messages in Opportunistic Data Dissemination

Author

Listed:
  • Asanga Udugama

    (Sustainable Communications Networks Group, University of Bremen, 28359 Bremen, Germany)

  • Jens Dede

    (Sustainable Communications Networks Group, University of Bremen, 28359 Bremen, Germany)

  • Anna Förster

    (Sustainable Communications Networks Group, University of Bremen, 28359 Bremen, Germany)

  • Vishnupriya Kuppusamy

    (Sustainable Communications Networks Group, University of Bremen, 28359 Bremen, Germany)

  • Koojana Kuladinithi

    (Institute of Communication Networks, Hamburg University of Technology, 21073 Hamburg, Germany)

  • Andreas Timm-Giel

    (Institute of Communication Networks, Hamburg University of Technology, 21073 Hamburg, Germany)

  • Zeynep Vatandas

    (Institute of Communication Networks, Hamburg University of Technology, 21073 Hamburg, Germany)

Abstract

Opportunistic networks have recently seen increasing interest in the networking community. They can serve a range of application scenarios, most of them being destination-less, i.e., without a-priori knowledge of who is the final destination of a message. In this paper, we explore the usage of data popularity for improving the efficiency of data forwarding in opportunistic networks. Whether a message will become popular or not is not known before disseminating it to users. Thus, popularity needs to be estimated in a distributed manner considering a local context. We propose Keetchi , a data forwarding protocol based on Q-Learning to give more preference to popular data rather than less popular data. Our extensive simulation comparison between Keetchi and the well known Epidemic protocol shows that the network overhead of data forwarding can be significantly reduced while keeping the delivery rate the same.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:2:p:29-:d:201737
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    References listed on IDEAS

    as
    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.
    2. Kazuaki Okamoto & Kazumasa Takami, 2016. "Routing Based on Information about the Routes of Fixed-Route Traveling Nodes and on Destination Areas Aimed at Reducing the Load on the DTN," Future Internet, MDPI, vol. 8(2), pages 1-24, April.
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    Cited by:

    1. Amir Masoud Rahmani & Zahra Hadad Tehrani & Alireza Souri, 2022. "RETRACTED ARTICLE: Evaluation of energy consumption in routing protocols for opportunistic networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(3), pages 461-461, March.

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