Advanced Computing Paradigms for Internet of Things: Fog, Edge, and Cloud Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 6113
Special Issue Editors
Interests: Internet of Things; cloud computing; AI and data science
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; digital twin; trust in AI and data; 5G/6G networks
Special Issues, Collections and Topics in MDPI journals
Interests: big data; internet of things; middleware and virtualization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of intelligent computational technologies, the Internet of Things (IoT), as a pervasive paradigm connecting the real world with the cyber world through heterogeneous devices, has shown great advances in many fields, such as wireless telecommunications, digital health, and industrial automation. However, challenges have also emerged in data management, processing, and storage, presenting a need to develop advanced computing paradigms to meet the ever-increasing number of data resources in IoT development.
Traditional cloud computing has shown its limits of latency and link congestion when transferring large amounts of data. Therefore, fog and edge computing concepts have been proposed for the collection, analysis, and processing of data closer to sensor devices. However, there are still series of challenging problems in the integration, efficiency, and security of cloud/fog/edge computing in the Internet of Things.
This Special Issue focuses on advanced research regarding advanced cloud/fog/edge computing technologies in the Internet of Things. Researchers are welcome to present original research on the latest findings related to current trends and challenges in the cloud/fog/edge computing architectures, protocols, designs, and frameworks for future IoT. Topics of interest include, but are not limited to, the following:
- Cloud/fog/edge computing architectures and protocols for IoT;
- Resource allocation in cloud/fog/edge computing for IoT;
- Green cloud/fog/edge computing;
- Cloud/fog/edge computing in connected vehicles, intelligent manufacturing, and smart cities;
- Communication technologies in cloud/fog/edge computing for IoT;
- The integration of fog/edge computing with cloud computing for IoT;
- The modeling and performance analysis of cloud/fog/edge computing for IoT;
- Computing and network convergence (CNC) paradigms/issues.
Dr. Ehsan Ahvar
Prof. Dr. Gyumyoung Lee
Dr. Shohreh Ahvar
Guest Editors
Manuscript Submission Information
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