An Architecture for the Development of Ambient Intelligence Systems Managed by Embedded Agents

Pantoja, Carlos Eduardo; Soares, Heder Dorneles; Viterbo, José; Seghrouchni, Amal El Fallah

doi:10.18293/seke2018-110

Cited by 13 publications

(7 citation statements)

References 12 publications

(12 reference statements)

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“…Communicator Agent [19] is an agent extension that implements an IoT node using ContextNet. With this, Communicator Agent can communicate with entities distributed over the network, no matter they are sensors, actuators, web clients, or even other Communicator Agents.…”

Section: The Communicator Agentmentioning

confidence: 99%

Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

Castro

Manoel²,

Jesus³

et al. 2022

RITA

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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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Section: The Communicator Agentmentioning

confidence: 99%

Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

Castro

Manoel²,

Jesus³

et al. 2022

RITA

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“…This agent needs to adopt a communication infrastructure to connect, send information, and receive Commands from the upper layers. Since the Communicator Agent concept [ 3 ] was created for allowing two distinct MAS to communicate, it does not consider communication with RMA.…”

Section: Resource Management Architecturementioning

confidence: 99%

“…The Communicator Agent [ 3 ] is an agent architecture created for the JaCaMo Framework [ 12 ] that allows agents to exchange messages in an IoT network. However, this agent extension does not deal with the RMA components.…”

Section: Resource Management Architecturementioning

confidence: 99%

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Engineering Approaches for Programming Agent-Based IoT Objects Using the Resource Management Architecture

Brandão

Lima

Pantoja

et al. 2021

Sensors

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The Internet of Things (IoT) allows the sharing of information among devices in a network. Hardware evolutions have enabled the employment of cognitive agents on top of such devices, which could help to adopt pro-active and autonomous IoT systems. Agents are autonomous entities from Artificial Intelligence capable of sensing (perceiving) the environment where they are situated. Then, with these captured perceptions, they can reason and act pro-actively. However, some agent approaches are created for a specific domain or application when dealing with embedded systems and hardware interfacing. In addition, the agent architecture can compromise the system’s performance because of the number of perceptions that agents can access. This paper presents three engineering approaches for creating IoT Objects using Embedded Multi-agent systems (MAS)—as cognitive systems at the edge of an IoT network—connecting, acting, and sharing information with a re-engineered IoT architecture based on the Sensor as a Service model. These engineering approaches use Belief-Desire-Intention (BDI) agents and the JaCaMo framework. In addition, it is expected to diversify the designers’ choice in applying embedded MAS in IoT systems. We also present a case study to validate the whole re-engineered architecture and the approaches. Moreover, some performance tests and comparisons are also presented. The study case shows that each approach is more or less suitable depending on the domain tackled. The performance tests show that the re-engineered IoT architecture is scalable and that there are some trade-offs in adopting one or another approach. The contributions of this paper are an architecture for sharing resources in an IoT network, the use of embedded MAS on top IoT Objects, and three engineering approaches considering agent and artifacts dimensions.

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“…There is an emerging cloud computing model named Sensors-asa-Service, where users can make public their own sensors' data to be consumed by other clients [2]. However, it is difficult to integrate and deploy such systems due to the heterogeneity of devices and communication technologies [3], [4]. Considering this, middleware for IoT play an important role in these systems since they can deal with the heterogeneity of hardware, data distribution, and communication protocols.…”

Section: Introductionmentioning

confidence: 99%

A Resource Management Architecture For Exposing Devices as a Service in the Internet of Things

Pantoja¹,

Soares²,

Alexandre³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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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.

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An Architecture for the Development of Ambient Intelligence Systems Managed by Embedded Agents

Cited by 13 publications

References 12 publications

Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

Engineering Approaches for Programming Agent-Based IoT Objects Using the Resource Management Architecture

A Resource Management Architecture For Exposing Devices as a Service in the Internet of Things

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