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ndnIoT-FC: IoT Devices as First-Class Traffic in Name Data Networks

Author

Listed:
  • Luís Gameiro

    (Instituto de Telecomunicações, 3810-193 Aveiro, Portugal)

  • Carlos Senna

    (Instituto de Telecomunicações, 3810-193 Aveiro, Portugal)

  • Miguel Luís

    (Instituto de Telecomunicações, 3810-193 Aveiro, Portugal
    ISEL—Instituto Superior de Engenharia de Lisboa, 1959-007 Lisboa, Portugal)

Abstract

In recent years we have been assisting a radical change in the way devices are connected to the Internet. In this new scope, the traditional TCP/IP host-centric network fails in large-scale mobile wireless distributed environments, such as IoT scenarios, due to node mobility, dynamic topologies and intermittent connectivity, and the Information-Centric Networking (ICN) paradigm has been considered the most promising candidate to overcome the drawbacks of host-centric architectures. Despite bringing efficient solutions for content distribution, the basic ICN operating principle, where content must always be associated with an interest, has serious restrictions in IoT environments in relation to scale, performance, and naming, among others. To address such drawbacks, we are presenting ndnIoT-FC, an NDN-based architecture that respects the ICN rules but offers special treatment for IoT traffic. It combines efficient hybrid naming with strategies to minimize the number of interests and uses caching strategies that virtually eliminates copies of IoT data from intermediate nodes. The ndnIoT-FC makes available new NDN-based application-to-application protocol to implement a signature model operation and tools to manage its life cycle, following a publisher-subscriber scheme. To demonstrate the versatility of the proposed architecture, we show the results of the efficient gathering of environmental information in a simulation environment considering different and distinct use cases.

Suggested Citation

  • Luís Gameiro & Carlos Senna & Miguel Luís, 2020. "ndnIoT-FC: IoT Devices as First-Class Traffic in Name Data Networks," Future Internet, MDPI, vol. 12(11), pages 1-21, November.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:11:p:207-:d:449001
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    References listed on IDEAS

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    1. 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.
    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 2.
    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 2.
    4. Marica Amadeo & Giuseppe Ruggeri & Claudia Campolo & Antonella Molinaro & Valeria Loscrí & Carlos T. Calafate, 2019. "Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms," Future Internet, MDPI, vol. 11(11), pages 1-21, October.
    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.
    6. 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.
    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 1.
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    Cited by:

    1. Wan Muhd Hazwan Azamuddin & Azana Hafizah Mohd Aman & Hasimi Sallehuddin & Maznifah Salam & Khalid Abualsaud, 2024. "Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review," Mathematics, MDPI, vol. 12(5), pages 1-33, February.
    2. Luís Gameiro & Carlos Senna & Miguel Luís, 2022. "Insights from the Experimentation of Named Data Networks in Mobile Wireless Environments," Future Internet, MDPI, vol. 14(7), pages 1-18, June.

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