Edge Computing: Optimization and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 414
Special Issue Editors
Interests: signal and system; communication principle; next-generation mobile networks; artificial intelligence; edge caching and computing
Special Issue Information
Dear Colleagues,
This Special Issue aims to gather innovative research focused on advanced computing techniques and their real-world applications within the realm of edge computing, optimization, and artificial intelligence. As edge computing continues to grow in prominence, it presents unique challenges related to resource management, latency reduction, computational efficiency, and artificial intelligence designs, which require innovative optimization strategies. This Special Issue welcomes the submission of articles that explore novel algorithms, architectures, and solutions that address these challenges while highlighting applications in areas such as the Internet of Things (IoT), smart cities, industrial automation, and autonomous systems. We invite authors to submit papers that provide in-depth analysis, present new theoretical frameworks, or showcase practical implementations that push the boundaries of what is possible in edge computing scenarios. The aim of this Special Issue is to foster a deeper understanding of how optimization techniques and current advancements of artificial intelligence can enhance the performance of edge computing, particularly in resource-constrained settings, and promote the practical deployment of edge technologies in real-world applications.
Dr. Fasheng Zhou
Prof. Dr. Jing Qiu
Guest Editors
Manuscript Submission Information
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Keywords
- edge computing
- optimization techniques
- artificial intelligence
- computational efficiency
- resource management
- latency reduction
- Internet of Things (IoT)
- smart cities
- industrial automation
- autonomous systems
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