scholarly journals Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

2022 ◽  
Vol 29 (1) ◽  
pp. 81-90
Author(s):  
Lucas Fernando Souza de Castro ◽  
Fabian Cesar Pereira Brandão Manoel ◽  
Vinicius Souza de Jesus ◽  
Carlos Eduardo Pantoja ◽  
Andre Pinz Borges ◽  
...  

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.

Author(s):  
SOFIA BELKHALA ◽  
SIHAM BENHADOU ◽  
KHALID BOUKHDIR ◽  
HICHAM MEDROMI

2020 ◽  
Vol 11 (1) ◽  
pp. 331
Author(s):  
Héctor Sánchez San Blas ◽  
André Sales Mendes ◽  
Francisco García Encinas ◽  
Luís Augusto Silva ◽  
Gabriel Villarubia González

There are more than 800 million people in the world with chronic diseases. Many of these people do not have easy access to healthcare facilities for recovery. Telerehabilitation seeks to provide a solution to this problem. According to the researchers, the topic has been treated as medical aid, making an exchange between technological issues such as the Internet of Things and virtual reality. The main objective of this work is to design a distributed platform to monitor the patient’s movements and status during rehabilitation exercises. Later, this information can be processed and analyzed remotely by the doctor assigned to the patient. In this way, the doctor can follow the patient’s progress, enhancing the improvement and recovery process. To achieve this, a case study has been made using a PANGEA-based multi-agent system that coordinates different parts of the architecture using ubiquitous computing techniques. In addition, the system uses real-time feedback from the patient. This feedback system makes the patients aware of their errors so that they can improve their performance in later executions. An evaluation was carried out with real patients, achieving promising results.


Author(s):  
Ryo Neyama ◽  
Sylvain Lefebvre ◽  
Masanori Itoh ◽  
Yuji Yazawa ◽  
Akira Yoshioka ◽  
...  

2019 ◽  
Author(s):  
Aluizio Rocha ◽  
Arthur Souza ◽  
Dannylo Johnathan ◽  
Gibeon Aquino ◽  
Rafael Queiroz ◽  
...  

Many technologies are needed to build computational systems in the context of Smart Cities. At present, the construction of scalable, intelligent and ubiquitous systems is a constant challenge for developers. The evolution of the Internet of Things is one of the several paths to be pursued with the aid of this development. In this way, new models and platforms have been proposed to support the development of its applications. Allied to this challenge this work presents a generic and a conceptual model of an IoT application for Smart Parking. This model is implemented as RFID and RaspberryPi. In addition, it eval- uates the ThingSpeak cloud service for its use as an IoT platform.


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