Distributed and Intelligent Edge Computing (IEC) for Next Generation Industrial IoT
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 151
Special Issue Editors
Interests: industrial IoT; intelligent wireless connectivity; computing power network; intelligent transportation systems; vehicular systems; heterogeneous network convergence transmission
Special Issue Information
Dear Colleagues,
Next-generation industrial IoT networks and forthcoming advance networks envision ubiquitous computing and connectivity which will lead to massive growth in data traffic and billions of edge node connections. To avoid delays and single points of failure in huge networks, edge devices are now being widely employed for various applications, such as industrial automation, intelligent transportation systems, surveillance, and home automation. However, in many scenarios, sophisticated artificial intelligence (AI) algorithms are required, consuming significant amounts of processing power and occupying large computing sizes, which may exceed the available resources of typical edge devices. This Special Issue covers theoretical and experimental problems, especially considering recent delay-sensitive, distributed, and intelligent trends in computing paradigms, such as TinyML, Federated Learning, Mobile Edge Computing, Multiaccess Edge Computing, highly heterogeneous computation, and semantic communication in cloud-network-edge-end cooperation, aiming to optimize latency, computing complexity, trustworthy transmission, and resourceful utilization of bandwidth, thus giving rise to a potential research direction for distributed and Intelligent Edge Computing (IEC).
Dr. Tao Zheng
Dr. Kyi Thar
Guest Editors
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Keywords
- industrial IoT
- distributed or collaborative intelligence
- edge computing
- digital twins
- intelligent computation offloading
- energy efficiency
- security and trust
- on-demand resource allocation
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