Computer and Telecommunication Engineering

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Section Collection Policy

Internet of Things (IoT) and Industrial IoT

Submission deadline: 2023-12-31

Section Editors

Dr./Prof. Muhammad Shiraz

Federal Urdu University of Arts, Science and Technology, Pakistan

Interests: Edge computing; Fog computing; Cloud Computing; Mobile Cloud Computing

Dr. Kalpesh Popat

Marwadi University, Rajkot, Gujarat, India

Interests: Mobile Computing, Cellular Networks, AI & ML, IoT

Dr. Pratik Goswami

Institute of Informatics, Department of Computer Science, Faculty of Science, University of South Bohemia

Interests: Wireless communication, Wireless sensor networks, Signal processing, Cognitive Radio, Green communication, Internet of Things, Deep Learning, Machine learning, and AI techniques for IoT, IIoT applications.

Dr. Ashish Patel

SVM Institute of Technology, India

Interests: Wireless Networks, Ambient Intelligence, IoT, AI/ML/DL

Dr.Altaf Hussain

Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Interests: Underwater and Body Sensor Networks, Unmanned Aerial Networks, Deep Learning/Machine Learning, Gesture Detection, 3D point Cloud.

Ilias Georgousis

Bellerophon Research and Development Team

Interests: Blockchain, IoT, Artificial Intelligence

Dr. Anurag Verma

Institute of Engineering and Technology, Lucknow-India

Interests: Energy & Buildings

Assoc. Prof./Dr. Yassen Gorbounov

New Bulgarian University

Interests: parallel algorithms; programmable logic devices; CPLD; FPGA; hardware description languages; digital circuits design; artificial neural networks; fuzzy logic; computer systems; computer architectures; switched reluctance motors; robotics; mechatronics; embedded systems

Dr. A S L K Gopalamma

Dadi Institute of Engineering and Technology , Anakapalle, Andhra Pradesh

Interests: Smart sustainable systems protection and control, Advances in Waste management system

Prof. Maki K. Habib

American University in Cairo

Interests: Nanorobotics systems for biomedical purposes. 2. Machine Learning in Cancer Detection, Diagnosis, and Analysis. 3. Human Adaptive and Friendly Mechatronics (HAFM). 4. EchoMechatronics and Bioinspired Design. 5. Service and Autonomous Robots, including Humanitarian Demining. 6. Robotics for the physically impaired using biological signals (EEG and EMG). 7. Electrical Autonomous Cars/Vehicles enhanced by Machine Learning techniques. 8. Pioneering in Industry 4.0/5.0, including IoT, Cyber-Physical Systems (CPSs), and WSNs. 9. Development of Intelligent Drone Systems: Structure, Control, Intelligence and Navigation. 10. Research in Telecooperation, Distributed Mixed Realities, and Collaborative Control. 11. Intelligent and Nonlinear Control systems.

Section Collection Information

Dear Colleagues,

The rapid evolution of information and communication technologies (ICTs) has paved the way for remarkable advancements in the field of Industrial Internet of Things (IIoTs). With the increasing penetration of IoT devices and the widespread adoption of distributed computing, novel opportunities are emerging to transform industries, cities, healthcare, education, and various other domains. In IIoTs the interconnected sensitive networked devices along with computers employed for manufacturing and energy management allow for data communication and data analysis. As a result IIoTs facilitate improvements in productivity, efficiency and other economic benefits.

According to International Data Corporation (IDC) research, the number of connected IoT devices is projected to exceed 41.6 billion by 2025, with an annual growth rate of 28.7% in data production. Consequently, there is an urgent need to establish methods for handling the vast amounts of heterogeneous data generated by IoT devices and to integrate and scale the applications that operate on distributed computing components, systems, and platforms. Research domains and concerns of the IIoTs include edge computing, fog computing, machine-to-machine (M2M), mobile technologies, advanced robotics, 3D printing, big data, RFID technology, and cognitive computing. Conclusively, the emergence of distributed control system (DCS) has enabled IIoTs which allow for a higher degree of ICT automation by leveraging remote servers for refining and optimizing the process controls.

We look forward to receiving your contributions.

Prof. Dr. Muhammad Shiraz

Section Editor

Keywords

Internet of Things; Industrial Internet of Things; Edge Computing; Big Data