IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things
Abstract
The Internet of Things (IoT) is a network of physical things, objects, or devices, such as radio-frequency identification tags, sensors, actuators, mobile phones, and laptops. The IoT enables objects to be sensed and controlled remotely across existing network infrastructure, including the Internet, thereby creating opportunities for more direct integration of the physical world into the cyber world. The IoT becomes an instance of cyberphysical systems (CPSs) with the incorporation of sensors and actuators in IoT devices. Objects in the IoT have the potential to be grouped into geographical or logical clusters. Various IoT clusters generate huge amounts of data from diverse locations, which creates the need to process these data more efficiently. Efficient processing of these data can involve a combination of different computation models, such as in situ processing and offloading to surrogate devices and cloud-data centers.
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Image encryption algorithms with lower computational complexity are suitable for edge devices with limited computing power.
“thus, image encryption algorithms with lower computational complexity are suitable for such edge devices.”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [62]
Many edge devices have limited computing power.
“many edge devices have limited computing power [62]”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [62]
Chaotic-based encryption algorithms are suitable for resource-constrained platforms such as the Internet of Things and edge devices, due to their fast computational speed and minimal complexity.
“Chaotic-based encryption algorithms are suitable for resource-constrained platforms, like the Internet of Things (IoT) and edge devices [62,67], due to their fast computational speed and minimal complexity.”
From Image Encryption Algorithms: A Survey of Design and Evaluation Metrics (2024) · cites this paper as [62]
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References 9 · Cited by 252
- Authors
- Munir, A., Kansakar, P., & Khan, S. U.
- Affiliations
- Kansas State University (US)
- University of Nevada, Reno (US)
- North Dakota State University (US)
- Venue
- IEEE Consumer Electronics Magazine
- Published
- 2017-07
- Volume
- 6
- Issue
- 3
- Pages
- 74-82
- ISSN
- 2162-2248 (ISSN-L)
- 2162-2256
- OpenAlex
- W2626764419
- Cited by
- 252
- References
- 9
- Citations by year
- 2026: 2 · 2025: 13 · 2024: 16 · 2023: 25 · 2022: 39 · 2021: 34 · 2020: 36 · 2019: 43 · 2018: 36 · 2017: 8
- FWCI
- 22.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Consumer Electronics Magazine (publishedVersion)
- Funders
- National Science Foundation
- North Dakota State University
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- Internet of Things, fog computing, cloud computing, fog-cloud architecture, cyber-physical systems, in situ processing, computation offloading, IoT data processing, models of computation
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