Special Issue "Edge Computing in IoT Networks Based on Artificial Intelligence"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 January 2024 | Viewed by 1194
Special Issue Editors
2. BISITE Research Group, University of Salamanca, 37008 Salamanca, Spain
3. Higher School of Engineering and Technology, International University of La Rioja (UNIR), Logroño, Spain
Interests: Internet of Things; edge computing; distributed ledger and blockchain technologies; embedded systems; indoor location systems; cloud computing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; neural networks; evolutionary computation; distributed computing; transfer learning; swarm robotics; collective behavior; smart grids
Interests: artificial intelligence; distributed computing; machine learning; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Edge computing and Internet of Things (IoT) are synergic disruptive computational technologies that are already having a massive impact in a wide span of application areas, including connected Industry 4.0, precision agriculture and smart farming, robotics, transportation, energy and smart grids, health, and Fintech, among others. Furthermore, synergies between edge and IoT in such applications are enhanced with more cohesive functioning and improved functionalities by means of advanced processing based on artificial intelligence (AI) methods: for example, edge architectures for processing data from IoT devices can be leveraged by federated learning methods (both hierarchical and P2P), to optimize local AI analysis models while providing enhanced privacy by restricting the communication of raw data outside of edge nodes. These synergies between such edge techniques and architectures in IoT networks using AI have set exceptional grounds for impactful advances in many areas, which motivates this Special Issue, with the goal of providing a platform for researchers to contribute findings on these technologies and establish synergies to further advance these joint disciplines and their application. Authors are invited to submit high-quality research articles on topics including (but not restricted to):
- Internet of Things (IoT) and Industrial IoT;
- Sensor and actuator distributed networks;
- Edge computing, edge architectures;
- Edge continuum (edge/fog/cloud computing);
- Machine learning for IoT sensor networks;
- Federated learning;
- Knowledge representation and AI processing in IoT networks;
- Distributed learning AI methods and transfer learning;
- Industrial applications leveraging edge, IoT and AI;
- Adversarial learning and security in edge architectures and IoT networks.
Dr. Ricardo S. Alonso Rincón
Dr. Iñaki Fernández Pérez
Dr. Sara Rodriguez
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly 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 2600 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
- edge computing
- Internet of Things
- artificial intelligence
- federated learning
- distributed learning
