Files and links (2)
Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments945.46 kB
Published VersionCC BY V4.0, Open Access
Journal article
Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments
International Journal of Distributed Sensor Networks, Vol.18(6), pp.1-14
2022
Abstract
The advances and convergence in sensor technology, information and communication technology, and intelligent analy-tics have given rise to the Internet of Things or also known as the Internet of Everything or the Industrial Internet. The research and development works for the Internet of Things can be seen to have progressed in two main phases: (1) In the first phase, the earlier works for the Internet of Things focused on developing the building blocks and enabling technologies such as the sensors and RFID technologies, communications and wireless protocols, machine-to-machine interfaces , energy efficiency of nodes, and energy harvesting technologies, and (2) in the second phase, the latter and recent works focused on the addition of, and embedding value to application-specific Internet of Things using technologies for smart environments and applications such as intelligent analytics and machine learning, embedded vision and image processing , augmented reality, and autonomous systems. We associate the term of embedded intelligence and analytics with the data-driven future for application-specific Internet of Things. In this article, we give an introduction and review recent developments of embedded intelligence for the Internet of Things; the various embedded intelligence computational frameworks such as edge, fog, and cloud for the application-specific Internet of Things; and highlight the techniques, challenges , and opportunities for effective deployment of application-specific Internet of Things technology to address complex problems for various smart environments and applications.
Details
- Title
- Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments
- Authors
- Kenneth Ang (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringJasmine Kah Phooi Seng (Author) - Xi’an Jiaotong-Liverpool UniversityMonica Wachowicz (Author) - RMIT University
- Publication details
- International Journal of Distributed Sensor Networks, Vol.18(6), pp.1-14
- Publisher
- Sage Publications, Inc.
- Date published
- 2022
- DOI
- 10.1177/15501329221102371
- ISSN
- 1550-1477; 1550-1329
- Copyright note
- 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
- 99649777202621
- Output Type
- Journal article
Metrics
168 File views/ downloads
89 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Computer Science, Information Systems
- Telecommunications
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites