Intelligent IoT Systems with Mobile/Multi-Access Edge Computing (MEC)
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 1598
Special Issue Editors
Interests: smart sensor-based situational awareness and integration; edge computing; crisis management; computer vision; image and point cloud processing; machine learning; earth observation; terrestrial and UAV embedded systems; IoT systems
Special Issues, Collections and Topics in MDPI journals
Interests: (beyond) 5G technologies; management and orchestration in the compute continuum; (extreme/far/near) edge computing; federated learning; predictive QoS
Interests: crisis management; security; data handling; sensor integration and communications security issues; systems biology; bioinformatics, machine learning; multiscale cancer modelling and simulation; situational awareness; data and communications security and management
Special Issues, Collections and Topics in MDPI journals
Interests: automated transport systems; cooperative systems; smart mobility; sensor and information fusion; communication technologies; human–machine interaction; IoT systems and platforms; cloud computing and services; environmental and security applications; smart embedded and cyber physical systems; crisis management emergency communications; radar systems; computer vision and detection; sensor-based situational awareness; 5G networks; machine learning; security; VR/AR; artificial intelligence; circular economy and block chain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
New technologies such as mobile and multi-access edge computing (MEC) have gained significant attention in recent years, offering flexible and viable solutions that overcome the limitations of centralized cloud computing. Indeed, by enabling computation at the network edge, MEC realizes a series of advantages for applications, including (i) context awareness; (ii) geo-distributed capabilities; and (iii) low latency.
Within this broad context, edge computing can take different forms subject to the exact definition of the edge, i.e., computation can be performed at a regional level, at (5G) mobile network base stations or even directly on an end device. This is possible due to advances in several domains including microelectronics, as well as artificial intelligence (AI) and machine learning (ML), together facilitating the emergence of a multitude of applications that increasingly bridge the gap between the cyber and the physical worlds. Examples include, but are not limited to, augmented reality (AR), virtual reality (VR), digital twins (DT), virtual simulations, manufacturing/Industry 4.0, connected automated mobility (CAM)/ automotive, etc.
In this Special Issue, original research articles and reviews focusing on the support of intelligent IoT solutions and edge computing are welcome. Research areas may include (but are not limited to) the following:
- Novel system architectures for the support of intelligent IoT applications at the edge;
- New programming models for intelligent IoT applications in the compute continuum;
- Novel intelligent IoT applications/services on top of MEC platforms;
- Experimental performance evaluation/trials of MEC-enabled intelligent IoT applications;
- Service/resource management and orchestration solutions for the support of intelligent IoT services/applications at the edge;
- Applications of (distributed) machine learning (ML) techniques for the edge, e.g., federated learning, split learning, etc.;
- Software optimizations for the support of AI/ML workloads at the edge, e.g., Tiny ML applications.
We look forward to receiving your contributions.
Dr. Evangelos Maltezos
Dr. Konstantinos Katsaros
Dr. Eleftherios Ouzounoglou
Dr. Angelos Amditis
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous vehicles
- mixed reality (MR)/ augmented reality (AR), virtual reality (VR)
- computer vision and video analytics
- AI/machine learning
- systems integration and mobile or multi-access edge computing (MEC)
- 5G/(Beyond) 5G
- IoT/ AIoT
- smart manufacturing
- triage/wearables
- situational awareness
- UxVs
