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Towards programmable IoT with ActiveNDN

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A Publisher Correction to this article was published on 19 August 2023

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Abstract

We propose to perform robust distributed computation, such as analysing and filtering raw data in real time, as close as possible to sensors in an environment with intermittent Internet connectivity and resource-constrained computable IoT nodes. To enable this computation, we deploy a named data network (NDN) for IoT applications, which allows data to be referenced by names. The novelty of our work lies in the inclusion of computation functions in each NDN router and allowing functions to be treated as executable Data objects. Function call is expressed as part of the NDN Interest names with proper name prefixes for NDN routing. With the results of the function computation returned as NDN Data packets, a normal NDN is converted to an ActiveNDN node. Distributed function executions can be orchestrated by an ActiveNDN program to perform required computations in the network. In this paper, we describe the design of ActiveNDN with a small prototype network as a proof of concept. We conduct extensive simulation experiments to investigate the performance and effectiveness of ActiveNDN in large-scale wireless IoT networks. Two programmable IoT air quality monitoring applications on our real-world ActiveNDN testbed are described, demonstrating that programmable IoT devices with on-site execution are capable of handling increasingly complex and time-sensitive IoT scenarios.

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Acknowledgements

This work was partially supported by the Asi@Connect Project Grant Reference 22-023. We thank the Net2Home project of the THNIC Foundation for allowing us to use their community network for our research.

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Authors and Affiliations

  1. Internet Education and Research Laboratory, Asian Institute of Technology, Pathumthani, Thailand

    Preechai Mekbungwan, Adisorn Lertsinsrubtavee & Kanchana Kanchanasut

  2. Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand

    Sukumal Kitisin

  3. Dipartimento di Informatica - Scienza e Ingegneria, UNIBO, Bologna, Italy

    Giovanni Pau

  4. Autonomous Robotics Research Center, Technology Innovation Institute, Abu Dhabi, UAE

    Giovanni Pau

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  1. Preechai Mekbungwan
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  2. Adisorn Lertsinsrubtavee
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  3. Sukumal Kitisin
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  4. Giovanni Pau
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  5. Kanchana Kanchanasut
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Correspondence to Preechai Mekbungwan.

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The original version of this article was revised. Affiliations of Dr Pau and Kanchanasut are corrected. The Publisher regrets these errors.

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Mekbungwan, P., Lertsinsrubtavee, A., Kitisin, S. et al. Towards programmable IoT with ActiveNDN. Ann. Telecommun. 78, 667–684 (2023). https://doi.org/10.1007/s12243-023-00954-x

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  • DOI: https://doi.org/10.1007/s12243-023-00954-x

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