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Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks

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  • Kah Phooi Seng
  • Li Minn Ang
  • Ericmoore Ngharamike

Abstract

The advances and convergence in sensor, information processing, and communication technologies have shaped the Internet of Things of today. The rapid increase of data and service requirements brings new challenges for Internet of Thing. Emerging technologies and intelligent techniques can play a compelling role in prompting the development of intelligent architectures and services in Internet of Things to form the artificial intelligence Internet of Things. In this article, we give an introduction and review recent developments of artificial intelligence Internet of Things, the various artificial intelligence Internet of Things computational frameworks and highlight the challenges and opportunities for effective deployment of artificial intelligence Internet of Things technology to address complex problems for various applications. This article surveys the recent developments and discusses the convergence of artificial intelligence and Internet of Things from four aspects: (1) architectures, techniques, and hardware platforms for artificial intelligence Internet of Things; (2) sensors, devices, and energy approaches for artificial intelligence Internet of Things; (3) communication and networking for artificial intelligence Internet of Things; and (4) applications for artificial intelligence Internet of Things. The article also discusses the combination of smart sensors, edge computing, and software-defined networks as enabling technologies for the artificial intelligence Internet of Things.

Suggested Citation

  • Kah Phooi Seng & Li Minn Ang & Ericmoore Ngharamike, 2022. "Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501477211, March.
    • Handle: RePEc:sae:intdis:v:18:y:2022:i:3:p:15501477211062835
    DOI: 10.1177/15501477211062835
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    1. Giri Gandu Hallur & Sandeep Prabhu & Avinash Aslekar, 2021. "Entertainment in Era of AI, Big Data & IoT," Springer Books, in: Subhankar Das & Saikat Gochhait (ed.), Digital Entertainment, chapter 0, pages 87-109, Springer.
    2. Antonopoulos, Ioannis & Robu, Valentin & Couraud, Benoit & Kirli, Desen & Norbu, Sonam & Kiprakis, Aristides & Flynn, David & Elizondo-Gonzalez, Sergio & Wattam, Steve, 2020. "Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
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    1. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Mariusz Kostrzewski & Magdalena Marczewska & Lorna Uden, 2023. "The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance," Energies, MDPI, vol. 16(7), pages 1-20, April.

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