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    Evidence of power-law behavior in cognitive IoT applications

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    Authors
    Bebortta, Sujit
    Senapati, Dilip
    Rajput, Nikhil Kumar
    Singh, Amit Kumar
    Rathi, Vipin Kumar
    Pandey, Hari Mohan
    Jaiswal, Amit Kumar
    Qian, Jia
    Tiwari, Prayag
    Affiliation
    College of Engineering and Technology, Bhubaneshwar
    Ravenshaw University
    University of Delhi
    Edge Hill University
    University of Bedfordshire
    Technical University of Denmark
    University of Padova
    Issue Date
    2020-02-03
    Subjects
    Internet of things
    
    Metadata
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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.
    Citation
    Bebortta S, Senapati D, Rajput NK, Singh AK, Rathi VK, Pandey HM, Jaiswal AK, Qian J, Tiwari P (2020) 'Evidence of power-law behavior in cognitive IoT applications', Neural Computing and Applications, 32 (20), pp.16043-16055.
    Publisher
    Springer
    Journal
    Neural Computing and Applications
    URI
    http://hdl.handle.net/10547/624072
    DOI
    10.1007/s00521-020-04705-0
    Additional Links
    https://link.springer.com/article/10.1007/s00521-020-04705-0
    Type
    Article
    Language
    en
    ISSN
    0941-0643
    EISSN
    1433-3058
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00521-020-04705-0
    Scopus Count
    Collections
    Computing

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