Ubiquitous systems consider the use of electronic components for enhancing daily objects with some kind of computational intelligence for aiding users in their tasks pervasively. Ambient Intelligence (AmI) is a branch of ubiquitous computing that provides an environment full of interconnected devices and it can provide data communication, inference mechanism based on context information and collaboration among system's devices. Similarly, the Internet of Things (IoT) provides uniquely identified devices or things in a network for helping users in their activities. Multi-Agent Systems (MAS) are intelligent systems where agents are responsible for reasoning, competing and using resources to achieve desirable goals pro-actively and autonomously. Agents have been employed in some approaches and works during the last years, but none of them considered embedded MAS responsible for smart devices in an AmI system running over an IoT network. Besides, it is also interesting that agents of the embedded MAS can interact, sharing information with agents situated in another embedded MAS using the IoT network to learn from user's experiences. This paper proposes an architecture for the development of AmI systems using embedded MAS for interfacing with sensors and actuators in a heterogenous network using an IoT middleware.

This paper proposes an architecture for sharing IoT Objects’ resources in the Internet of Things providing a model for its owners to expose devices, which can be consumed by clients inspired by the Sensor-as-a-Service model. The main idea relies on the fact that users, such as developers and researchers, do not always have access to the necessary hardware and resources. Exposing devices in IoT should impact these persons activities. Then, we present the Resource Management Architecture, where several IoT Objects endowed with sensors and actuators can be added to environments that are represented virtually in the architecture. The IoT Objects become available to be consumed by users through the use of applications. The architecture is composed of three layers: one representing devices, the cloud solution, and applications, and how they interact with each other. We also present a study case for testing the whole approach in a smart city scenario.

No abstract

This work proposes an architecture for sharing devices' resources in the Internet of Things providing real sensor data for its users. The main idea is based on the fact that users such as developers and researchers do not always have access to the necessary hardware and resource sharing should impact these persons activities. Taking advantage of the Sensors as a Service model, we propose an architecture where several sensors and actuators can be coupled to environments and they also are represented virtually in a web system becoming available to be consumed by users and platforms. The architecture is composed of three layers and a model representing devices, the cloud, and clients, and how they interact with each other. A study case for testing the whole approach is also presented.