Empowering the Future Generation Cloud Systems for Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 7614
Special Issue Editors
Interests: cloud computing; IoT; machine learning; mobile networks; computer networks; future generation networks
Interests: IoT; blockchain; cloud computing; machine learning; future generation networks
Special Issue Information
Dear Colleagues,
With significant advances in sensing and communication technologies, the Internet of Things (IoT) plays an increasingly important role in connecting the physical and digital worlds in various domains, such as smart city, healthcare, intelligent transportation, forest protection, and environmental monitoring. However, there are still many challenges for current IoT systems to effectively handle billions of devices with huge data generated from IoT devices to ensure low latency, energy efficiency, and so on. The convergence of technologies—from edge computing to cloud, the Internet of Things (IoT), blockchain, and Artificial Intelligence (AI)—potentially contributes toward addressing the above issues and blurring the lines between the physical and digital worlds.
In this Special Issue, we seek state-of-the-art approaches, methodologies, and key technologies in the design, development, deployment and innovative use of edge, cloud, AI, and blockchain for the Internet of Things.
Topics include but are not limited to the following:
- Novel theories, concepts, and paradigms of the convergence of IoT, AI, blockchain, and edge–cloud;
- Architecture design between cloud/fog/edge for the IoT;
- Distributed computing architectures/algorithms/models for the IoT;
- Framework, algorithms, and protocol design for IoT cloud;
- Management—scheduling, energy, resource scaling, deployment, orchestration, monitoring, benchmarking, and metering for IoT cloud;
- Dynamic resource provision and consuming for IoT cloud;
- Machine learning, AI, and other innovative approaches for IoT cloud/fog/edge communication;
- Models of convergence technologies for mission-critical applications such as smart grid, healthcare, connected vehicles, etc.;
- Distributed ledger technology (DLT), blockchain, and smart contract for IoT cloud;
- Blockchain-based serverless edge computing for the IoT;
- Trustless systems for data ownership and data management in IoT cloud;
- Digital twin and metaverse using IoT cloud;
- Security, privacy, and trustworthiness for IoT cloud.
Prof. Dr. Younghan Kim
Dr. Ngoc-Thanh Dinh
Prof. Dr. Min Wei
Guest Editors
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Keywords
- Internet of Things
- cloud
- edge
- AI
- machine learning
- blockchain
- metaverse
- convergence technologies
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