Landry, Moungala Alban
(Dept. of Computer Science Kookmin University)
,
Kabulo, Nday Sinai
(Dept. of Computer Science Kookmin University)
,
Yum, Sun-Ho
(Special Communication Research Center Kookmin University)
,
Namgung, Jung-Il
(Special Communication Research Center Kookmin University)
,
Shin, Soo-Young
(Special Communication Research Center Kookmin University)
,
Park, Soo-Hyun
(Dept. of Computer Science, College of Computer Science Kookmin University)
From the last past decade, the Internet of Thing (IoT) area has attracted a lot of attention from researchers. It is said to be a promising technology with great impact in people life, since it redefines the relationship objects have with Human and between themselves. It allows objects to gather dat...
From the last past decade, the Internet of Thing (IoT) area has attracted a lot of attention from researchers. It is said to be a promising technology with great impact in people life, since it redefines the relationship objects have with Human and between themselves. It allows objects to gather data from the real world and communicate with others through the internet. This enabled many opportunities for service providers, companies, factories, environmental monitoring, healthcare, smart cities, and soon. Therefore, today, IoT is densely used in various domains of life, and knows an exponential growth. However, although many advancements have been achieved, several challenges keep causing issues and still need to be overcome. This paper gives an overview on the current trend issues in IoT on which researchers are focusing. It's also explores different proposed frameworks to allow the application of cognitive computing as an integrated process of an Internet of things (IoT) systems, to bring a great advanced in the way machine may communicate with human and their surroundings. This is known as cognitive IoT (CIoT), which allows machines to produce a human-like behavior, then providing enhanced level of capabilities to IoT.
From the last past decade, the Internet of Thing (IoT) area has attracted a lot of attention from researchers. It is said to be a promising technology with great impact in people life, since it redefines the relationship objects have with Human and between themselves. It allows objects to gather data from the real world and communicate with others through the internet. This enabled many opportunities for service providers, companies, factories, environmental monitoring, healthcare, smart cities, and soon. Therefore, today, IoT is densely used in various domains of life, and knows an exponential growth. However, although many advancements have been achieved, several challenges keep causing issues and still need to be overcome. This paper gives an overview on the current trend issues in IoT on which researchers are focusing. It's also explores different proposed frameworks to allow the application of cognitive computing as an integrated process of an Internet of things (IoT) systems, to bring a great advanced in the way machine may communicate with human and their surroundings. This is known as cognitive IoT (CIoT), which allows machines to produce a human-like behavior, then providing enhanced level of capabilities to IoT.
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제안 방법
They explained the cognitive model with mathematical formula beyond the scope of this paper. The proposed solution focused on profit gained using the framework, in term of quality of data, quality of information and quality of experience, but also on the cost needed to integrate such model. However, this faces several challenges like being apply in real field, the largely scalable, to assure a good quality of service, and so on.
후속연구
This paper only focuses on three proposed frameworks for cognitive IoT and keeps an overview on the proposed solutions. Further investigations may be carried on the applications and efficiency of such architecture in a real field.
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