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Special Issue "Fog Computing Applications in the Internet of Things: Exploiting Computational Intelligence"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 15 March 2020.
Interests: Distributed Computing, Energy-saving data centers, Fog Computing, Nonlinear Adaptive Filtering, Audio Signal Processing, Computational Intelligence, Neural Networks, Blind Signal Processing
Interests: Fog Computing, Internet of Vehicles, Mobile Ad Hoc and Sensor Networks, Self-similar traffic modeling, Radio Resource Management within 3/4G networks, Turbo Coding.
Interests: Fog Computing, Intelligent Embedded and Cyber-physical Systems, Adaptive Computational-Intelligent Techniques, Machine Learning
Interests: Wireless Communications, Resource allocation, Fog Networking, Mobile Edge Computing, Multimedia Wireless Networks, Satellite Communications, Cognitive Radio and Networks, Smart City, Smart Grid
Fog computing (FC) is an emerging multitier paradigm that integrates cloud computing towards the edge of the network. In particular, FC refers to a distributed computing infrastructure confined to a limited geographical area in which some applications/services exploit proximate end-devices located at the edge of the network. The mission of FC is to improve energy-efficiency as well as to reduce the amount of data that need to be transported to the cloud for massive data processing, analysis and storage. However, being FC in its infancy, several issues and relevant challenges are still open. Specifically, critical aspects involve latency-sensitive and energy-efficient applications, where the end devices might not be appropriate since decisions/reactions must usually be taken in a very short time and energy and power constraints constitute a limiting factor. Computational intelligence (CI) constitutes an umbrella of techniques that are extremely flexible and suitable for solving dynamic and complex real-world problems that can be successfully applied to FC.
This Special Issue is devoted to collecting papers on novel and efficient computational intelligence solutions for these low-latency and green applications, and novel communication/networking paradigms, in order to meet specific configurability, adaptability, flexibility and energy/spectrum-efficiency constraints.
This Special Issue solicits papers that include, but are not limited to the following topics:
- Networked computing architectures and infrastructures for fog computing
- Energy efficient solutions for fog computing
- Joint optimization of distributed communication and computing resource management in fog computing
- Standardization of fog computing architectures
- Machine and deep learning for fog and edge computing
- Fog-enabled social networks of IoT devices
- Isolation, vulnerability and risk analysis for fog over IoT applications
- Cognitive fault detection and diagnosis
- Cyber physical fog-supported IoT systems
- Fog-aided big data streaming
- Vehicular fog computing
- Applications/architectures for fog-IoT-supported industry 4.0
- Description of ongoing research projects on fog-IoT topics
- Field trials and demo
Dr. Michele Scarpiniti
Dr. Francesco Chiti
Dr. Manuel Roveri
Dr. Daniele Tarchi
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 papers will be 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. Applied Sciences 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 1800 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.
- Fog Computing
- Internet of Thing
- Computational Intelligence
- Industry 4.0
- Internet of Energy
- Smart home
- Smart Cities