Internet of Things integration to a Multi Agent System based manufacturing environment

2015 ◽  
Author(s):  
C. Alexakos ◽  
A.P. Kalogeras
Keyword(s):  
Internet Of Things ◽  
Multi Agent System ◽  
Manufacturing Environment ◽  
Agent System ◽  
Multi Agent

scholarly journals Responding to Failure Events in the Manufacturing Environment

2018 ◽  
Vol 188 ◽  
pp. 05006
Author(s):  
Christos Anagnostopoulos ◽  
Christos Alexakos ◽  
Apostolos Fournaris ◽  
Christos Koulamas ◽  
Athanasios Kalogeras
Keyword(s):  
Internet Of Things ◽  
Manufacturing Process ◽  
Failure Detection ◽  
Multi Agent System ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Industrial Environment ◽  
Industrial Internet ◽  
Multi Agent ◽  
Manufacturing Resources

The manufacturing environment is characterized by increased complexity with different devices, systems and applications that need to interoperate, while residing at different layers of the classical industrial environment hierarchy. The introduction of the Industrial Internet of Things with increasingly smarter devices drives towards flatter hierarchies. This paper deals with an architecture for integration of IIoT devices in the manufacturing environment utilizing a Multi Agent System to this end. This extended architecture is utilised so as to perform failure detection of both IIoT devices and manufacturing resources, and react by altering the manufacturing process either automatically or semi-automatically.

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.

A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities

2018 ◽  
Vol 36 (11) ◽  
pp. 1113-1121 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Arkady Zaslavsky ◽  
Inna Sosunova ◽  
Petr Fedchenkov ◽  
Alexey Medvedev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Waste Management ◽  
Urban Areas ◽  
Dynamic Scheduling ◽  
Smart Cities ◽  
Multi Agent System ◽  
Sensors And Actuators ◽  
Agent System ◽  
Four Seasons ◽  
Multi Agent

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.

scholarly journals Multi-Agent Approach Using LoRaWAN Devices: An Airport Case Study

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1430 ◽  
Author(s):  
André Sales Mendes ◽  
Diego M. Jiménez-Bravo ◽  
María Navarro-Cáceres ◽  
Valderi Reis Quietinho Leithardt ◽  
Gabriel Villarrubia González
Keyword(s):  
Internet Of Things ◽  
Current Situation ◽  
Multi Agent System ◽  
Agent System ◽  
Health Security ◽  
Real Environment ◽  
The Status ◽  
Multi Agent ◽  
And Control

The current situation with COVID-19 is changing our courses of action toward ensuring health security. This is particularly crucial in airports, which usually receive more than 300,000 travellers in one single day. In this work, we present an Internet of Things (IoT) network to monitor the status of toilets and improve their maintenance. The system is based on IoT networks with different sensors to control soap levels, room capacity, distances, temperature, and humidity. This information is processed by a multi-agent system that detects possible anomalies and makes decisions accordingly. A case study in a real environment is developed in order to demonstrate the usefulness of the system. The results show that the proposed method can be used to successfully manage and control airport toilets.

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