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Evidence of power-law behavior in cognitive IoT applications

  • S.I. : Applying Artificial Intelligence to the Internet of Things
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Abstract

The motivations induced due to the presence of scale-free characteristics of neural systems governed by the well-known power-law distribution of neuronal activities have led to its convergence with the Internet of things (IoT) framework. The IoT is one such framework, where the self-organization of the connected devices is a momentous aspect. The devices involved in these networks inherently relate to the collection of several consolidated devices like the sensory devices, consumer appliances, wearables, and other associated applications, which facilitate a ubiquitous connectivity among the devices. This is one of the most significant prerequisites of IoT systems as several interconnected devices need to be included in the convolution for the uninterrupted execution of the services. Thus, in order to understand the scalability and the heterogeneity of these interconnected devices, the exponent of power-law plays a significant role. In this paper, an analytical framework to illustrate the ubiquitous power-law behavior of the IoT devices is derived. An emphasis regarding the mathematical insights for the characterization of the dynamic behavior of these devices is conceptualized. The observations made in this direction are illustrated through simulation results. Further, the traits of the wireless sensor networks, in context with the contemporary scale-free architecture, are discussed.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, College of Engineering and Technology, Bhubaneshwar, 751003, India

    Sujit Bebortta

  2. Department of Computer Science, Ravenshaw University, Cuttack, 753003, India

    Dilip Senapati

  3. Department of Computer Science, Ramanujan College, University of Delhi, New Delhi, 110019, India

    Nikhil Kumar Rajput, Amit Kumar Singh & Vipin Kumar Rathi

  4. Department of Computer Science, Edge Hill University, Ormskirk, UK

    Hari Mohan Pandey

  5. Institute for Research in Applicable Computing, University of Bedfordshire, Luton, UK

    Amit Kumar Jaiswal

  6. Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark

    Jia Qian

  7. Department of Information Engineering, University of Padova, Padua, Italy

    Prayag Tiwari

Authors
  1. Sujit Bebortta
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  2. Dilip Senapati
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  3. Nikhil Kumar Rajput
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  4. Amit Kumar Singh
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  5. Vipin Kumar Rathi
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  6. Hari Mohan Pandey
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  7. Amit Kumar Jaiswal
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  8. Jia Qian
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  9. Prayag Tiwari
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Correspondence to Dilip Senapati, Hari Mohan Pandey or Prayag Tiwari.

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Bebortta, S., Senapati, D., Rajput, N.K. et al. Evidence of power-law behavior in cognitive IoT applications. Neural Comput & Applic 32, 16043–16055 (2020). https://doi.org/10.1007/s00521-020-04705-0

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  • DOI: https://doi.org/10.1007/s00521-020-04705-0

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