Multiagent-Based Flexible Edge Computing Architecture for IoT
Abstract
This article presents a proposal for FLEC architecture, which solves problems resulting from the rigidity of the traditional IoT architecture and edge computing. FLEC architecture is a flexible and advanced IoT system model characterized by environment adaptation ability and user orientation ability. We utilize COSAP, a system configuration platform based on a multiagent framework, as an implementation procedure for FLEC architecture. Furthermore, this article presents its application case study of a healthcare support system for a sports event with many participants. Finally, we demonstrate the contribution of this proposed architecture to problem solution in edge computing.
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Simulation theory and agent-based simulation technologies play a key role in representing the behavior of a large system composed of different Digital Twins.
“Simulation theory [155] and agent-based simulation technologies [74] [156] for large systems also play a key role in representing the behavior of a large system composed of different Digital Twins.”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [155]
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630 · see citing works
Fadlullah, Z. M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2707140 · Cited by 810 · see citing works
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All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368 · see citing works
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works
- Authors
- Suganuma, T., Oide, T., Kitagami, S., Sugawara, K., & Shiratori, N.
- Affiliations
- Tohoku University (JP)
- Fukui University of Technology (JP)
- Chiba Institute of Technology (JP)
- Chuo University (JP)
- Venue
- IEEE Network
- Published
- 2018-01
- Volume
- 32
- Issue
- 1
- Pages
- 16-23
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W2786518188
- Cited by
- 73
- References
- 2
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 9 · 2022: 7 · 2021: 12 · 2020: 16 · 2019: 15 · 2018: 6
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Network (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (17KT0080, 15J09912)
- 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 › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- edge computing, IoT architecture, multi-agent systems, flexible architecture, environmental adaptation, user orientation
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