Several challenges arise when applying Multi-Agent System (MAS) in Ambient Intelligence scenarios such as the heterogeneity of the hardware and the domain where it is applied. There are several applications that use Agent-Oriented approaches but they provide solutions that tie the hardware to the software, and they do not provide generic architectures. So, in this paper, we propose a heterogeneous architecture for applying different microcontrollers in the design of embedded MAS for such kind of systems. An architecture and a small-scale prototype of a smart home assembled with several hardware devices connected to different ATMEGA and PIC microcontrollers are presented as proof-of-concept. Our architecture shows to be effective in several tests performed using different implementation strategies.

The smart city systems development connected to the Internet of Things (IoT) has been the goal of several works in the multi-agent system field. Nevertheless, just a few projects demonstrate how to deploy and make the connection among the employed systems. This paper proposes an approach towards the integration of a MAS through the JaCaMo framework plus an Urban Simulation Tool (SUMO), IoT applications (Node-RED, InfluxDB, and Grafana), and an IoT platform (Konker). The integration presented in this paper applies in a Smart Parking scenario with real features, where is shown the integration and the connection through all layers, from agent level to artifacts, including real environment and simulation, as well as IoT applications. In future works, we intend to establish a methodology that shows how to properly integrate these different applications regardless of the scenario and the used tools.

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