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Efficient forwarding strategy in a NDN-based internet of things

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Abstract

The future internet will include a variety of heterogeneous wireless networks and all kinds of smart sensors connected over wireless links. The size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed and communications bandwidth which in turn limits the processing and communication capabilities of the sensor nodes. Named data networking (NDN) emerged as a promising new routing mechanism aimed to cope with the increasing number of heterogeneous networks and the need for efficient and robust data dissemination. But, one of the bottlenecks that hinders the full applicability of such a NDN-based approach to the future internet is the energy requirements. In this study, we propose a novel geographic interest forwarding scheme where we add support for push-based traffic and different forwarding techniques designed to balance the energy consumption across the network. Our simulation results show that our proposed approach is more scalable and outperforms the alternative methods in term of data retrieval delay and overall energy consumption.

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Authors and Affiliations

  1. Hatem Bettahar IResCoMath Research Unit, University of Gabes, Gabès, Tunisia

    Ahmed Aboud & Haifa Touati

  2. National Engineering School, University of Sfax, Sfax, Tunisia

    Ahmed Aboud

  3. CES-Laboratory, University of Sfax, Sfax, Tunisia

    Brahim Hnich

  4. Faculty of Sciences, University of Monastir, Monastir, Tunisia

    Brahim Hnich

Authors
  1. Ahmed Aboud
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  2. Haifa Touati
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  3. Brahim Hnich
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Correspondence to Ahmed Aboud.

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Aboud, A., Touati, H. & Hnich, B. Efficient forwarding strategy in a NDN-based internet of things. Cluster Comput 22, 805–818 (2019). https://doi.org/10.1007/s10586-018-2859-7

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  • DOI: https://doi.org/10.1007/s10586-018-2859-7

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