Novel Technologies and Applications for Internet of Things
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 245
Special Issue Editors
Interests: Internet of Things; wireless and mobile networks; computer networks; multimedia streaming
Interests: high-performance computing; AI; embedded edge systems
Special Issue Information
Dear Colleagues,
The number of devices connected to the Internet of Things (IoT) is projected to increase from 18 billion in 2024 to almost 40 billion in 2033, instigated by an unprecedented number of application scenarios, such as smart cities, smart grids, smart farms, smart homes, smart health, and Industry 4.0 to name a few. To support these applications, new communications and networking technologies are needed to handle an ever-growing number of devices with heterogeneous capabilities and quality-of-service requirements that collectively generate a massive amount of data that needs to be efficiently transmitted, stored, and processed—all under a low carbon footprint. Additionally, considering the scale and complexity of the application scenarios and underlying networking infrastructure, researchers from both industry and academia are increasingly relying on artificial intelligence (AI) and machine learning (ML) tools to design, optimize, control, and manage many aspects of this highly diverse IoT ecosystem. Considering the exciting and rapid developments occurring in this field, this Special Issue seeks new and original contributions on novel technologies and applications for Internet of Things including, but not limited to, the following:
- Applications and technologies for smart cities, smart grids, smart farms, smart home, smart health, and Industry 4.0.
- Low-power wide-area network (LPWAN) technologies.
- Machine learning-based applications, protocols, and algorithms for IoT systems and applications.
- Edge AI technologies for IoT systems.
- Integration, management, and IoT systems and solutions for digital twins.
- 5G/6G communication technologies for IoT systems.
- The energy consumption and sustainability of IoT systems.
- Computational requirements for IoT systems.
Dr. Marcelo Carvalho
Dr. Damian Valles
Dr. Semih Aslan
Guest Editors
Manuscript Submission Information
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Keywords
- smart cities
- smart grids
- smart farms
- Industry 4.0
- smart health
- Internet of Things
- 5G/6G networks
- digital twins
- machine learning
- artificial intelligence
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