An XRI Mixed-Reality Internet-of-Things Architectural Framework Toward Immersive and Adaptive Smart Environments

2021 ◽  
Author(s):  
Alexis Morris ◽  
Jie Guan ◽  
Amna Azhar
Keyword(s):  
Internet Of Things ◽  
Mixed Reality ◽  
Smart Environments ◽  
Architectural Framework

When Mixed Reality Meets Internet of Things

2018 ◽  
Vol 22 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Taiwoo Park ◽  
Mi Zhang ◽  
Youngki Lee
Keyword(s):  
Internet Of Things ◽  
Mixed Reality

Human Factor Role for Cyber Threats Resilience

2019 ◽  
pp. 215-241
Author(s):  
Zlatogor Borisov Minchev
Keyword(s):  
Human Factor ◽  
New Technologies ◽  
Mixed Reality ◽  
Smart Environments ◽  
Methodological Framework ◽  
Agent Based ◽  
Cyber Threats ◽  
Digital World ◽  
Technological Growth ◽  
Scenario Method

The chapter describes the problem of building cyber threats resilience for the human factor as the technological growth is constantly changing the security landscape of the new digital world. A methodological framework for meeting the problem by using the “scenario method” and experts' support is outlined. An implementation of comprehensive morphological and system analyses of cyber threats are performed, followed by agent based mixed reality validation, incorporating biometrics monitoring. The obtained results demonstrate a correlation of experts' beliefs for cyber threats identification, related to human factor biometric response, whilst using social networks and inhabiting smart environments of living. The achieved results prove “use with care” necessity for new technologies, concerning cyber threats landscape for assuring a sustainable resilience balance from the human factor perspective.

scholarly journals Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 972 ◽  
Author(s):  
Yasin Kabalci ◽  
Ersan Kabalci ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Smart Cities ◽  
Future Research ◽  
Smart Environments ◽  
Important Research ◽  
Energy Internet ◽  
Iot Applications ◽  
Research Areas ◽  
Open Issues

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.

scholarly journals Clustering Approaches for Pragmatic Two-Layer IoT Architecture

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
J. Sathish Kumar ◽  
Mukesh A. Zaveri
Keyword(s):  
Internet Of Things ◽  
Network Lifetime ◽  
Real World ◽  
Clustering Algorithms ◽  
Business And Society ◽  
Common People ◽  
Iot Platform ◽  
Efficient Communication ◽  
Architectural Framework ◽  
Real Time Application

Connecting all devices through Internet is now practical due to Internet of Things. IoT assures numerous applications in everyday life of common people, government bodies, business, and society as a whole. Collaboration among the devices in IoT to bring various applications in the real world is a challenging task. In this context, we introduce an application-based two-layer architectural framework for IoT which consists of sensing layer and IoT layer. For any real-time application, sensing devices play an important role. Both these layers are required for accomplishing IoT-based applications. The success of any IoT-based application relies on efficient communication and utilization of the devices and data acquired by the devices at both layers. The grouping of these devices helps to achieve the same, which leads to formation of cluster of devices at various levels. The clustering helps not only in collaboration but also in prolonging overall network lifetime. In this paper, we propose two clustering algorithms based on heuristic and graph, respectively. The proposed clustering approaches are evaluated on IoT platform using standard parameters and compared with different approaches reported in literature.

Edge Computing and Social Internet of Things for Large-Scale Smart Environments Development

2018 ◽  
Vol 5 (4) ◽  
pp. 2557-2571 ◽  
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Giandomenico Spezzano ◽  
Andrea Vinci ◽  
Orazio Briante ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Edge Computing ◽  
Smart Environments ◽  
Social Internet Of Things

Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges

2016 ◽  
Vol 23 (5) ◽  
pp. 10-16 ◽  
Author(s):  
Ejaz Ahmed ◽  
Ibrar Yaqoob ◽  
Abdullah Gani ◽  
Muhammad Imran ◽  
Mohsen Guizani
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Environments ◽  
Research Challenges ◽  
Open Research

scholarly journals A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Aarti Rani ◽  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Fog Computing ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Architectural Framework

Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

Human Factor Role for Cyber Threats Resilience

2016 ◽  
pp. 377-402
Author(s):  
Zlatogor Borisov Minchev
Keyword(s):  
Human Factor ◽  
New Technologies ◽  
Mixed Reality ◽  
Smart Environments ◽  
Methodological Framework ◽  
Agent Based ◽  
Cyber Threats ◽  
Digital World ◽  
Technological Growth ◽  
Scenario Method

The chapter describes the problem of building cyber threats resilience for the human factor as the technological growth is constantly changing the security landscape of the new digital world. A methodological framework for meeting the problem by using the “scenario method” and experts' support is outlined. An implementation of comprehensive morphological and system analyses of cyber threats are performed, followed by agent based mixed reality validation, incorporating biometrics monitoring. The obtained results demonstrate a correlation of experts' beliefs for cyber threats identification, related to human factor biometric response, whilst using social networks and inhabiting smart environments of living. The achieved results prove “use with care” necessity for new technologies, concerning cyber threats landscape for assuring a sustainable resilience balance from the human factor perspective.

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