Smart house simulation based multi-agent system and internet of things

2017 ◽  
Author(s):  
Meftah Zouai ◽  
Okba Kazar ◽  
Belgacem Haba ◽  
Hamza Saouli
Keyword(s):  
Internet Of Things ◽  
Multi Agent System ◽  
Agent System ◽  
Simulation Based ◽  
Multi Agent ◽  
Smart House

Foraging Multi-Agent System Simulation Based on Attachment Theory

2015 ◽  
pp. 359-364 ◽  
Author(s):  
Carlos Alberto Riveros Varela ◽  
Ferney Beltrán Velandia ◽  
Miguel Alberto Melgarejo Rey ◽  
Nadya González Romero ◽  
Nelson Obregón Neira
Keyword(s):  
Attachment Theory ◽  
System Simulation ◽  
Multi Agent System ◽  
Agent System ◽  
Simulation Based ◽  
Multi Agent

scholarly journals Dynamic Co-Simulation of Internet-of-Things-Components using a Multi-Agent-System

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 874-879 ◽  
Author(s):  
Tobias Jung ◽  
Payal Shah ◽  
Michael Weyrich
Keyword(s):  
Internet Of Things ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring

2020 ◽  
Vol 11 (1) ◽  
pp. 331
Author(s):  
Héctor Sánchez San Blas ◽  
André Sales Mendes ◽  
Francisco García Encinas ◽  
Luís Augusto Silva ◽  
Gabriel Villarubia González
Keyword(s):  
Internet Of Things ◽  
Recovery Process ◽  
Feedback System ◽  
Easy Access ◽  
The Internet ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Multi Agent ◽  
The Internet Of Things

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.

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