Title: Agent based smart insulin pump for autonomous diabetes management

Authors: Asma Bouaita; Yacine Kissoum; Smaine Mazouzi

Addresses: LICUS Laboratory, Université 20 Août 1955, Skikda, 21000, Algeria ' LICUS Laboratory, Université 20 Août 1955, Skikda, 21000, Algeria ' LICUS Laboratory, Université 20 Août 1955, Skikda, 21000, Algeria

Abstract: Advancements in computing technology have paved the way for ambient intelligence, enabling smart objects to better serve users through adaptability and reactivity. This paper introduces the agent-based cooperating smart objects (ACOSO) model, a multi-agent system (MAS) approach for designing and implementing a smart insulin pump for elderly persons suffering from diabetes. Unlike conventional centralised systems, the ACOSO model facilitates decentralised, proactive, and reactive interactions between smart objects, ensuring enhanced adaptability to the user's health status and environment. The key contribution is the application of this agent-oriented paradigm to healthcare, demonstrating how the model supports real-time health monitoring, effective blood glucose management, and integration with smart home ecosystems, all while maintaining user privacy and safety. This approach offers a scalable and intelligent solution for chronic disease management, improving significantly the autonomy and quality of life for elderly people, thus addressing the growing socioeconomic challenges of ageing populations.

Keywords: smart insulin pump; agent based systems; cooperating smart objects; CSOs; internet of things in healthcare; autonomous diabetes management; real-time decision making.

DOI: 10.1504/IJSPM.2024.146022

International Journal of Simulation and Process Modelling, 2024 Vol.21 No.4, pp.238 - 250

Received: 10 Aug 2024
Accepted: 30 Dec 2024
Published online: 01 May 2025 *

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