Special lssues
Table of Content

Recent Advances in Internet of Things and Emerging Technologies

Submission Deadline: 30 September 2022 (closed)

Guest Editors

Dr. Farhan Amin, Yeungnam University, Korea.
Dr. Ikram Asghar, University of South Wales, UK.
Dr. Gyu Sang Choi, Yeungnam University, Korea.

Summary

In recent years, the Internet of Things, together with its related emerging technologies, has been driving a revolution in the way people perceive and interact with the surrounding environment. Smart homes and smart offices are effective examples that are enriched with sensing, actuating, communication, and computing capabilities. The IoT provides an umbrella under which many heterogeneous technologies and objects are interacting and co-operating. The need to enhance its performance with characteristics from other more mature technologies is rising. The full potential of the emerging IoT paradigm requires a large amount of industrial and academic research efforts directed to the design, development, and assessment of novel architectures, methodologies, and technologies.

 

The Social Internet of Things (SIoT) refers to the convergence of the Internet of Things and Social Networking paradigms for the creation of social networks in which things are nodes that establish social links as humans do. This concept has become a hot topic in academic research thanks to the benefits deriving from the potentials of the social networks within the IoT domain, such as simplification in the navigability of a dynamic network of billions of objects, robustness in the management of the trustworthiness of objects when providing information and services, and efficiency in the dynamic discovery of services and information.

 

The objective of this special issue is to present a useful reference regarding recent advancements and developments in IoT and emerging technologies The topics of interest include but are not limited to the followings:

 

Internet of Things.

Smart environments.

cyber-physical systems.

smart environments.

standards and protocols for the Internet of Things.

IoT toward COVID-19.

trusted IoT ecosystem.

Smart home.

Big Data for IoT.

Machine learning and artificial intelligence for the Internet of Things.

Social Internet of Things.

SIoT application in health care and hospital information system.

Data mining and analytics in SIoT.

SIoT and smart cities.

Cybersecurity in SIoT.

SIoT and autonomous driving systems.

SIoT application in the smart home system.

SIoT experimental platforms.

Machine learning techniques in SIoT.

Cognitive data processing in the SIoT.

Smart environments.

Service discovery method and technology of the SIoT.

Link selection method and technology of the SIoT.

Community discovery method and technology of the SIoT.


Keywords

Internet of things; social internet of things; Industrial IoT; smart home; smart city; Big Data; Data Science; cyber-physical systems; Smart environments.

Published Papers


  • Open Access

    ARTICLE

    Convolutional Neural Network Model for Fire Detection in Real-Time Environment

    Abdul Rehman, Dongsun Kim, Anand Paul
    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2289-2307, 2023, DOI:10.32604/cmc.2023.036435
    (This article belongs to the Special Issue: Recent Advances in Internet of Things and Emerging Technologies)
    Abstract Disasters such as conflagration, toxic smoke, harmful gas or chemical leakage, and many other catastrophes in the industrial environment caused by hazardous distance from the peril are frequent. The calamities are causing massive fiscal and human life casualties. However, Wireless Sensors Network-based adroit monitoring and early warning of these dangerous incidents will hamper fiscal and social fiasco. The authors have proposed an early fire detection system uses machine and/or deep learning algorithms. The article presents an Intelligent Industrial Monitoring System (IIMS) and introduces an Industrial Smart Social Agent (ISSA) in the Industrial SIoT (ISIoT) paradigm.… More >

  • Open Access

    ARTICLE

    Deep Learning Based Cyber Event Detection from Open-Source Re-Emerging Social Data

    Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi
    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1423-1438, 2023, DOI:10.32604/cmc.2023.035741
    (This article belongs to the Special Issue: Recent Advances in Internet of Things and Emerging Technologies)
    Abstract Social media forums have emerged as the most popular form of communication in the modern technology era, allowing people to discuss and express their opinions. This increases the amount of material being shared on social media sites. There is a wealth of information about the threat that may be found in such open data sources. The security of already-deployed software and systems relies heavily on the timely detection of newly-emerging threats to their safety that can be gleaned from such information. Despite the fact that several models for detecting cybersecurity events have been presented, it… More >

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