Symmetry/Asymmetry in IoT and Its Applications
A Special Issue of Symmetry (ISSN 2073-8994) belonging to the section "A: Computer Science".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 417
Editors
Interests: Internet of Things (IoT); machine learning; deep learning; cybersecurity; edge computing; smart systems; optimization techniques
Interests: Internet of Things (IoT); optimization algorithms; distributed systems; smart systems
Special Issue Information
Dear Colleagues,
The rapid evolution of the Internet of Things (IoT) has led to the generation of large-scale, heterogeneous, and continuously streaming data, raising new challenges in system design, data processing, and intelligent decision-making. In this context, symmetry and asymmetry have emerged as fundamental concepts that can significantly influence the efficiency, robustness, and scalability of IoT systems. Symmetry principles can be exploited to design optimized architectures, reduce redundancy, and enhance data representation, while asymmetry plays a crucial role in modeling real-world complexities such as heterogeneous devices, dynamic environments, and irregular data distributions. Recent advances in artificial intelligence, edge computing, and distributed systems have further amplified the importance of symmetry-aware and asymmetry-driven approaches in IoT applications. This Special Issue aims to bring together high-quality research contributions addressing both theoretical and practical aspects of symmetry and asymmetry in IoT systems. It focuses on how these concepts can improve system performance, enable efficient data processing, and support intelligent applications across various domains.
We invite original research articles and review papers that explore, but are not limited to, the following topics:
- IoT architectures and edge/fog computing;
- Distributed and scalable systems for IoT;
- Machine learning and deep learning for IoT applications;
- Real-time data processing and stream analytics;
- Big data technologies for IoT systems;
- Sensor networks and data fusion techniques;
- IoT security, privacy, and trust management;
- Smart cities, smart healthcare, and industrial IoT;
- Energy-efficient and resource-aware IoT systems;
- Blockchain and distributed ledger technologies in IoT;
- Cyber–physical systems and intelligent environments.
Prof. Dr. Abderrahim Zannou
Prof. Dr. Naoufal El Allali
Prof. Dr. Mourad Fariss
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Internet of Things (IoT)
- symmetry
- asymmetry
- edge computing
- distributed systems
- machine learning
- deep learning
- data streams
- real-time analytics
- sensor networks
- smart systems
- IoT security
- data optimization
- heterogeneous networks
- cyber–physical systems
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