Journal article
Application Specific Internet of Things (ASIoTs): Taxonomy, Applications, Use Case and Future Directions
IEEE Access, Vol.7, pp.56577-56590
2019
Abstract
As more and more applications are deployed using the Internet of Things (IoT) technologies, the fragmentation of general purpose IoT technologies to target particular sectors with different requirements is becoming necessary. In this paper, we summarize the latest developments of applicationspecific IoTs (ASIoTs) (a term to conceptualize the development of IoTs targeted toward specific domains, communications mediums, and industry sectors) in eight representative studies (Internet of Battlefield Things (IoBT), Internet of Medical Things (IoMT), Internet of Animal Things (IoAT), Internet of Waste Things (IoWT), Internet of Underwater Things (IoUWT), Internet of Underground Things (IoUGT), Internet of Nano Things (IoNT), and Internet of Mobile Things (IoMobT) such as the Internet of Vehicles). The paper gives contributions to ASIoTs from three perspectives: First, we offer a basic classification taxonomy for ASIoTs and discuss various representative studies and applications which can be found in the literature; Second, we discuss a use case for a biometrics-based ASIoT (termed IoBioT) for illustration and experiments of face-based biometric recognition on IoBioT are also performed; and Third, we give discussions and future directions for ASIoTs. An objective of this paper is to spur researchers and facilitate the development of ASIoTs for the different user-defined domains, communication mediums, and technology constrained platforms.
Details
- Title
- Application Specific Internet of Things (ASIoTs): Taxonomy, Applications, Use Case and Future Directions
- Authors
- Li-Minn Ang (Author) - Griffith UniversityJ K P Seng (Author) - University of New South Wales
- Publication details
- IEEE Access, Vol.7, pp.56577-56590
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2019
- DOI
- 10.1109/ACCESS.2019.2907793
- ISSN
- 2169-3536
- Copyright note
- Copyright © 2019 The Author. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99451318002621
- Output Type
- Journal article
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- Domestic collaboration
- Web Of Science research areas
- Computer Science, Information Systems
- Engineering, Electrical & Electronic
- Telecommunications
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