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IoT Ecosystem: Functioning Framework, Hierarchy of Knowledge, and Intelligence

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Artificial Intelligence-based Internet of Things Systems

Part of the book series: Internet of Things ((ITTCC))

Abstract

In the present era of advanced technology, IoT makes a vital contribution toward the development of sophisticated knowledge-aware systems for various growing sectors, like healthcare, education, intelligent cities, savvy homes, automized agriculture, etc. This chapter outlines an IoT framework, including the IoT ecosystem’s information and knowledge structure. Through an IoT ecosystem, core elements and their importance or meaning can be defined. In IoT-aware smart devices, smart sensors operate together over the Internet with limited or without human intervention. M2M (machine-to-machine) communication was the early stage of IoT in this Internet world. As IoT develops, it is using big innovations, including a vast array of statistical knowledge, machine learning, and artificial intelligence, to deal with large data and computations. This inquiry continues with an outline of the taxonomy of the IoT ecosystem. This chapter has formulated an overview of the IoT environment which illustrates IoT architecture, gateways, nodes, middleware, OS’s, framework, protection, storage and computation, communication or networking technologies of IoT, and interfaces for the efficient utilization of data in an ecosystem. This chapter moreover illustrates the hierarchy of the intelligence of the IoT ecosystem, which describes the process of generation of data, derivation of desired information from those raw data, processing, and manipulation. Collaborations between IoT and evolving technologies have been developed, including data processing (e.g., the use of machine learning algorithms), cloud, fog, and edge computing. Furthermore, several frameworks to ensure the security of data and the IoT ecosystem were elaborated based on machine learning. Finally, the chapter describes some applications of IoT that are growing faster.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

    Mobasshir Mahbub

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  1. Mobasshir Mahbub
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Editors and Affiliations

  1. Department of Computer Science and Engineering, Sister Nivedita University, Kolkata, West Bengal, India

    Souvik Pal

  2. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, West Bengal, India

    Debashis De

  3. School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Mahbub, M. (2022). IoT Ecosystem: Functioning Framework, Hierarchy of Knowledge, and Intelligence. In: Pal, S., De, D., Buyya, R. (eds) Artificial Intelligence-based Internet of Things Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-87059-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87058-4

  • Online ISBN: 978-3-030-87059-1

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