Architecture to Embed Software Agents in Resource Constrained Internet of Things Devices

Area of Science:

• Computer Science
• Urban Planning
• Electrical Engineering

Background:

• Intelligent sensing, treatment tools, and data management are crucial for future urban environments.
• Achieving efficiency, integration, sustainability, and quality of life requires advancements in smart city technologies.
• Development of cost-effective, accurate, and intelligent hardware is fundamental for future intelligent environments.

Purpose of the Study:

• To propose an intelligent multi-agent system architecture for the Internet of Things (IoT).
• To enable fast, efficient, and intelligent management of data generated in urban environments.
• To validate the proposed architecture through a case study involving electric vehicles (e-bikes).

Main Methods:

• Development of an intelligent multi-agent system architecture.
• Integration of the multi-agent system into basic Internet of Things (IoT) hardware devices.
• Implementation of a service layer tailored for intelligent urban environments.
• Validation using a case study focused on electric bikes (e-bikes).

Main Results:

• The proposed multi-agent architecture facilitates efficient data management for intelligent environments.
• The integrated service layer effectively addresses the needs of new smart urban scenarios.
• The e-bike case study demonstrates the practical applicability and validation of the architecture.

Conclusions:

• Intelligent multi-agent systems are key to enabling efficient data management in future smart cities.
• The developed architecture provides a scalable and adaptable solution for urban IoT applications.
• Further research can expand this approach to various smart city domains.