An Architecture to Implement the Internet-of-Things using the Prometheus Methodology

2015 ◽  
Vol 6 (4) ◽  
pp. 1-20
Author(s):  
Bogdan Manațe ◽  
Florin Fortiş ◽  
Philip Moore
Keyword(s):  
Internet Of Things ◽  
Rapid Expansion ◽  
The Internet ◽  
Data Types ◽  
Diverse Range ◽  
Complex Agent ◽  
Multi Agent ◽  
Complex Scenario ◽  
The Internet Of Things ◽  
Prometheus Methodology

The rapid expansion of the Internet of Things (IoT) will generate a diverse range of data types that needs to be handled, processed and stored. This paper aims to create a multi-agent system that suits the needs introduced by the IoT expansion, thus being able to oversee the Big Data collection and processing and also to maintain the semantic links between the data sources and data consumers. In order to build a complex agent oriented architecture, we have assessed the existing agent oriented methodologies searching for the best solution that is not bound to a specific programming language of framework, and it is flexible enough to be applied in such a divers domain like IoT. As complex scenario, the proposed approach has been applied to medical diagnosis and motoring of mental disorders.

An Architecture to Implement the Internet-of-Things using the Prometheus Methodology

2020 ◽  
pp. 609-629
Author(s):  
Bogdan Manațe ◽  
Florin Fortiş ◽  
Philip Moore
Keyword(s):  
Internet Of Things ◽  
Rapid Expansion ◽  
The Internet ◽  
Data Types ◽  
Diverse Range ◽  
Complex Agent ◽  
Multi Agent ◽  
Complex Scenario ◽  
The Internet Of Things ◽  
Prometheus Methodology

The rapid expansion of the Internet of Things (IoT) will generate a diverse range of data types that needs to be handled, processed and stored. This paper aims to create a multi-agent system that suits the needs introduced by the IoT expansion, thus being able to oversee the Big Data collection and processing and also to maintain the semantic links between the data sources and data consumers. In order to build a complex agent oriented architecture, we have assessed the existing agent oriented methodologies searching for the best solution that is not bound to a specific programming language of framework, and it is flexible enough to be applied in such a divers domain like IoT. As complex scenario, the proposed approach has been applied to medical diagnosis and motoring of mental disorders.

scholarly journals Digitally enabled advanced services: a socio-technical perspective on the role of the internet of things (IoT)

2020 ◽  
Vol 40 (7/8) ◽  
pp. 1243-1268
Author(s):  
Andreas Schroeder ◽  
Parikshit Naik ◽  
Ali Ziaee Bigdeli ◽  
Tim Baines
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Diverse Range ◽  
Content Type ◽  
Research Perspective ◽  
Technological Information ◽  
Value Propositions ◽  
Multiple Case ◽  
The Creation ◽  
The Internet Of Things

PurposeThe purpose of this study is to investigate how the internet of things (IoT) contributes to manufacturers' advanced services development and delivery. To better understand the creation of these IoT contributions, the study adopts a socio-technical research perspective, which expands the scope of the investigation and integrates the technological, information and social factors that enable these IoT contributions.Design/methodology/approachA multiple-case research method was employed to investigate the IoT contribution scenarios of 15 manufacturers who offer advanced services and to examine their dependence on other non-IoT factors, using thematic analysis.FindingsThe analysis identified five advanced services value propositions, which are enabled by nine “IoT-enabled information systems (IS) artefacts” that specify the distinct interactions between the technological, information and social subsystems supporting the manufacturers' advanced services value propositions.Originality/valueThe study advances the servitisation research by demonstrating that IoT technology on its own is insufficient for the creation of the IoT contributions. It shows, instead, the need for close interactions with a diverse range of other factors, which are often not considered when developing an IoT strategy. The study also introduces the IS artefact notion as a unit of analysis that constitutes an alternative to the commonly adopted techno-centric perspective used to conceptualise IoT contributions. The study and its findings add to the development of a socio-technical perspective on the IoT in advanced services and thereby suggests a number of theoretical and practical implications.

Prospects for cybersecurity in 2019

2018 ◽  
Keyword(s):  
Internet Of Things ◽  
Private Sector ◽  
Rapid Expansion ◽  
The Internet ◽  
New Developments ◽  
Content Type ◽  
Attack Surface ◽  
The Internet Of Things

Subject Prospects for cybersecurity in 2019 Significance Cybersecurity is now a chief concern for both private sector organisations and governments, both of which are doing their best to eliminate ‘low-hanging’ vulnerabilities, but new developments such as the rapid expansion of the Internet of Things (IoT) are broadening the attack surface.

scholarly journals Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1600 ◽  
Author(s):  
Zheng Yao ◽  
Sentang Wu ◽  
Yongming Wen
Keyword(s):  
Internet Of Things ◽  
Social Cognitive ◽  
Simulation Experiment ◽  
Unmanned Vehicles ◽  
The Internet ◽  
Unmanned Vehicle ◽  
Aerial Vehicle ◽  
Multi Agent ◽  
The Internet Of Things ◽  
Cognitive Optimization

Multi-agent hybrid social cognitive optimization (MAHSCO) based on the Internet of Things (IoT) is suggested to solve the problem of the generation of formations of unmanned vehicles. Through the analysis of the unmanned vehicle formation problem, formation principles, formation scale, unmanned vehicle formation safety distance, and formation evaluation indicators are taken into consideration. The application of the IoT enables the optimization of distributed computing. To ensure the reliability of the formation algorithm, the convergence of MAHSCO has been proved. Finally, computer simulation and actual unmanned aerial vehicle (UAV) formation generation flight generating four typical formations are carried out. The result of the actual UAV formation generation flight is consistent with the simulation experiment, and the algorithm performs well. The MAHSCO algorithm based on the IoT is proved to be able to generate formations that meet the mission requirements quickly and accurately.

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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