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/lp/inderscience-publishers/industrial-iot-middleware-using-a-multi-agent-system-for-consistency-I4w4goEHPB
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd
- ISSN
- 1754-8632
- eISSN
- 1754-8640
- DOI
- 10.1504/IJAACS.2021.117805
- Publisher site
- See Article on Publisher Site
Abstract
With the evolution of the internet of things (IoT), and due to its significant need in the industry, Industrial IoT (IIoT) becomes the suitable naming for this accompaniment. IIoT changed the view of the industry intelligently and over the internet. This overlapping of IoT and industry requires special treatment when systems deal with heterogeneous devices in a distributed environment and complex tasks. In this paper, we propose a middleware solution based on multi-agents system (MAS) to handle the distributed control of complex systems autonomously in an industrial environment. The proposed middleware enables machine-to-machine (M2M) communications among the system's components. In this work, we also addressed the distributed diagnostic for real industrial system using MAS with a new suitable communication strategy to support the heterogeneity and interoperability issued in IIoT and assure real-time monitoring and control. Finally, we present a qualitative evaluation of our solution on real case study (cement factory).
Journal
International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers
Published: Jan 1, 2021