Context-aware monitoring for IoT: an approach based on Agents, and Federated Learning

  • Herminio Paucar USP
  • Júlio Estrella USP

Resumo


This paper proposes a software architecture model applied for context-aware monitoring of Smart Buildings(SB), and it works in two layers: Fog and Edge computing and uses the Multi-Agent System(MAS) and Federated Learning(FL). The objective of this architecture will allow context-aware monitoring and the capture of anomalies and offer specific functionalities that depend on the user roles. As a result, we modeled the complete software architecture considering Reactive, edge-fog computing, and MAS components, following the best practices from the literature and the 2413-IEEE standard.

Palavras-chave: multi-agent system, context-aware, federated learning, smart building, software architecture
Publicado
16/10/2023
PAUCAR, Herminio; ESTRELLA, Júlio. Context-aware monitoring for IoT: an approach based on Agents, and Federated Learning. In: FAST ABSTRACT - LATIN-AMERICAN SYMPOSIUM ON DEPENDABLE COMPUTING (LADC), 12. , 2023, La Paz/Bolívia. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 164–165.