Emerging Topics in Industrial IoT, Networks, and Machine Learning

Dear Colleagues,

The main aim of this Special Issue is to present a forum for researchers comprising the entire range of new Emerging Topics in Industrial IoT, Networks, and Machine Learning.

We are in the third decade of the twenty-first century, and scientists have made remarkable advances, particularly in recent years, leading to significant developments in the fast-growing Industrial Internet of Things sector. Because of the rapid growth of Industry 4.0 applications, the volume of data is rapidly increasing. The number of IoT devices is expected to increase fivefold within a decade. This change will create a difficult challenge for upcoming mobile networks to provide a better quality of services (QoS) to their customers. There is also considerable concern about the significant increase in energy consumption that such networks will require. As a result, revolutionary energy-efficient solutions must be developed to address the ever-increasing number of connected devices. To address these looming challenges, technologies such as blockchain, machine learning, and 6G networks will transform society and the economy by providing millions of people and interconnected smart devices with seamless, unprecedented, massive connectivity. This is also related to the Internet of Everything (IOE), which includes IoT smart devices, the IIoT sector, the Internet of Vehicles (IOV), unmanned aerial vehicles (UAVs), and many other things.

In this Special Issue, we encourage researchers to contribute their latest developments and ideas as well as review articles on Industrial IoT, energy-efficient network technologies, blockchain applications, and technologies related to machine learning applications. Topics of interest include, but are not limited to, the following:

• Internet of Things and sensor observations;
• Smart environment and smart city management;
• GIS tools and applications for big data;
• Blockchain for Industry 4.0;
• AI-enabled network architectures, testbeds, and frameworks for 6G;
• Energy-efficient UAV-assisted networks;
• UAVs for future networks;
• Applications of machine learning.

We encourage you to submit your original work to this Issue, and look forward to receiving your distinguished research.

Dr. Prince Waqas Khan
Dr. Khizar Abbas
Dr. Pyae Pyae Phyo
Guest Editors

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• industrial IoT
• 6G networks
• UAVs
• electric vehicles
• big data
• blockchain
• big data GIS applications
• machine learning
• energy AI
• renewable energy
• energy forecasting