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Published VersionCC BY V4.0, Open Access
Journal article
Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks
International Journal of Distributed Sensor Networks, Vol.18(3), pp.1-27
2022
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.
Details
- Title
- Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks
- Authors
- Kah Phooi Seng (Author) - Xi’an Jiaotong-Liverpool UniversityLi Minn Ang (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringEricmoore Ngharamike (Author) - Federal University Oye Ekiti
- Publication details
- International Journal of Distributed Sensor Networks, Vol.18(3), pp.1-27
- Publisher
- Sage Publications, Inc.
- Date published
- 2022
- DOI
- 10.1177/15501477211062835
- ISSN
- 1550-1477; 1550-1329
- Copyright note
- Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99629439902621
- Output Type
- Journal article
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