Real-Time Embedded Systems for IoT
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 53
Special Issue Editors
2. Computer Engineering Department, Jeju National University, Jeju 63243, Republic of Korea
Interests: internet of things; edge computing; digital twin; blockchain; artificial intelligence; on-device AI; federated learning; swarm learning; swarm intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor network; internet of things; underwater cognitive acoustic networks; underwater acoustic modem; underwater data transmission; multiple access underwater communication
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) is an emerging paradigm that inspires industries to develop intelligent and autonomous systems. In the IoT systems, various technologies such as artificial intelligence (AI), blockchain, digital twin (DT), etc., are integrated to provide secure, efficient, and seamless IoT services. However, there are many challenges that come with the limitations of computing and network resources. Also, the heterogenous IoT protocols and platforms increase the difficulty of IoT system development. Novel solutions need to overcome the limitations and heterogeneity in the IoT environment.
Contributions from all fields related to IoT are welcome in this Special Issue, particularly those covering the following topics:
- Theory, applications, case studies, and project reports related to emerging IoT standard protocols, frameworks, and platforms;
- Efficient computing, network, and security solutions in IoT, wireless sensor networks, and vehicle networks;
- IoT and edge computing solutions in smart spaces such as homes, buildings, factories, farms, and cities;
- Real-time inference and prediction approaches in the IoT edge environment.
Dr. Wenquan Jin
Dr. Yihu Xu
Guest Editors
Manuscript Submission Information
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Keywords
- internet of things
- edge computing
- wireless sensor network
- vehicle network
- edge intelligence
- swarm intelligence
- on-device AI
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