Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Recent Advancement in Edge/Fog Computing for Intelligent IoT Applications"
Deadline for manuscript submissions: 15 February 2020.
Dr. Christos Anagnostopoulos Website E-Mail
School of Computing Science; University of Glasgow
Interests: context-awareness; in-network processing; distributed machine & adaptive learning; stochastic optimization; bio-inspired computing; mobile & distirbuted computing; inferential & predictive analytics
Dr. Dimitrios Pezaros Website E-Mail
School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK
Interests: network and service management; network function virtualisation (NFV); software-defined networking (SDN); network security and resilience; cloud data centre networking; closed-loop; measurement-based network control; adaptive resource provisioning; network traffic analysis and modelling; network anomaly detection
In recent years, Fog & Edge Computing (FEC) has appeared as a new paradigm that extends existing fundamental computing infrastructure to the network edges to provide computation, networking, and intelligent real-time services between end/mobile devices, IoT devices, networking elements, sensors, and data centers. The FEC paradigm has been considered to effectively mitigate loads on data centers, to support Artificial Intelligence (AI)-led services, and to increase 5G services at the network edge. The FEC eco-system is capable of processing large amounts of contextual data locally for supporting in-network decision making, data analytics (predictive analytics, exploratory data analysis, network analytics etc) and knowledge/data management in the network edge. Therefore, FEC applications along with the IoT field are essential technical directions that enable smart homes/hospitals/cities, intelligent vehicles/unmanned vehicles, intelligent network management services, smart supply chain, e-health, automation, and a variety of other AI-led computing and networking environments. These features make FEC paradigm suitable for context-aware, intelligent, real-time and location-sensitive applications as it can be envisaged as an interface between IoT and Cloud. This Special Issue intends to collect cutting-edge research from both academia and industry, with emphasis on current intelligent application developments and future directions in distributed intelligence, self-organizing 5G networks, AI-led applications for IoT, distributed computation and analytics in IoT environments providing a unique opportunity for both technology and applied science to meet. We invite authors to submit their original papers. Potential topics include:
• Theoretical Foundation and (Distributed) Computing models for FEC Applications
• Distributed Intelligence and Distributed Machine Learning for FEC Applications
• Advances in AI-led SDN/NFV for FEC Applications
• Intelligent IoT Management and Networking Services
• Self-evolving, self-organizing FEC Networking Applications
• FEC-based Intelligent Data and/or Knowledge Management Services (data analytics)
• Intelligent Tasks Management for supporting FEC Applications
• Intelligent caching for large-scale contextual data in FEC Applications
• Quality of Experience/Quality of Service for FEC
• Bio-inspired FEC Applications in large-scale networks (e.g., UxVs, WSNs, IoT)
• Advances in Soft-computing for FEC Applications
• Decision Support & novel Services in FEC-based IoT
Dr. Christos Anagnostopoulos
Dr. Dimitrios Pezaros
Dr. Kostas Kolomvatsos
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. 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 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.