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Self-Adaptive Large-Scale SCADA System Based on Self-Organized Multi-Agent Systems
I nt. J. Automation and Control (2016)
  • Hosny Abbas, Assiut University
  • Samir Shaheen, Cairo University
This paper provides an approach for engineering present and future large-scale supervisory control and data acquisition (SCADA) systems as a type of complex industrial networks, which are characterized by
their increasing complexity and high distribution. The proposed approach adopts the emerging agent technology, which has proven to be the most representative among artificial systems dealing
with complexity and high distribution. Agent-based systems that have the ability to dynamically reorganize themselves will be adaptive enough to survive within their unpredictable and highly changing environments. Adaptive agent-based systems are designed to be capable to adapt themselves to unforeseen situations in an autonomous manner. Engineering modern complex, highly distributed, and large-scale SCADA
systems is currently a challenging issue and agents and multi-agent systems (MAS) can provide a feasible solution to this problem. In this paper, a self-adaptive large-scale SCADA system is designed and implemented based on dynamically organized adaptive MAS. A prototype was developed and evaluated within a simulation environment for demonstrating the effect of the transparently realized dynamic reorganization on the system-to-be performance.
  • automation; supervisory control; real-time monitoring; large-s cale SCADA; adaptive industr ial networks; self-organised multi-agent systems.
Publication Date
Citation Information
Hosny Abbas and Samir Shaheen. "Self-Adaptive Large-Scale SCADA System Based on Self-Organized Multi-Agent Systems" I nt. J. Automation and Control Vol. 10 Iss. 3 (2016) p. 234 - 266 ISSN: 1740-7524
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