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Special Issue "Recent Advances in Fog/Edge Computing in Internet of Things"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (15 May 2019).

Special Issue Editors

Dr. Antonio J. Jara
Website
Guest Editor
Department Information Technology, University of Applied Sciences Western Switzerland (HESSO), 2800 Delémont, Switzerland
Interests: smart city; future internet/5G; IoT; cognitive computing; ubiquitous technologies
Special Issues and Collections in MDPI journals
Dr. Houbing Song
Website
Guest Editor
Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Interests: cyber-physical systems; signal processing for communications and networking; cloud computing/edge computing and verification
Special Issues and Collections in MDPI journals
Dr. Rodrigo Román-Castro
Website
Guest Editor
Dept. of Computer Science, University of Malaga, Malaga, Spain
Interests: Internet of things; security; edge computing; Industry 4.0; security architectures
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid growth of mobile applications and the Internet of Things have placed severe demands on cloud infrastructure, which has led to moving computing and data services towards the edge of the cloud, inside the so-called “edge computing”. There are multiple instantiations of this concept, such as “fog computing” and “multi-access edge computing”.

This Special Issue solicits papers that cover numerous topics of interest that include, but are not limited to:

  • Integrated communication and computing design for fog/edge computing-based IoT
  • Theoretical foundation and models for fog/edge computing-based IoT
  • Intelligent (real time) data analytics for fog/edge computing-based IoT
  • Security and privacy in fog/edge computing-based IoT
  • Machine learning for fog/edge computing-based IoT
  • Communication and network architecture and protocols for fog/edge computing-based IoT
  • Data management, decision support and novel services in fog/edge computing-based IoT
  • Integrated testbed and case studies for fog/edge computing-based IoT
Dr. Antonio J. Jara
Prof. Dr. Houbing Song
Dr. Rodrigo Román-Castro
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 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 2000 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.

Published Papers (10 papers)

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Open AccessArticle
A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment
Sensors 2019, 19(13), 2954; https://doi.org/10.3390/s19132954 - 04 Jul 2019
Cited by 5
Open AccessArticle
Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking
Sensors 2019, 19(12), 2733; https://doi.org/10.3390/s19122733 - 18 Jun 2019
Cited by 1
Open AccessArticle
On the Location of Fog Nodes in Fog-Cloud Infrastructures
Sensors 2019, 19(11), 2445; https://doi.org/10.3390/s19112445 - 29 May 2019
Cited by 3
Open AccessArticle
Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing
Sensors 2019, 19(9), 2122; https://doi.org/10.3390/s19092122 - 08 May 2019
Cited by 5
Open AccessArticle
On the Combination of Multi-Cloud and Network Coding for Cost-Efficient Storage in Industrial Applications
Sensors 2019, 19(7), 1673; https://doi.org/10.3390/s19071673 - 08 Apr 2019
Cited by 4
Open AccessArticle
Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation
Sensors 2019, 19(6), 1267; https://doi.org/10.3390/s19061267 - 13 Mar 2019
Cited by 2
Open AccessArticle
Energy-Efficient Collaborative Task Computation Offloading in Cloud-Assisted Edge Computing for IoT Sensors
Sensors 2019, 19(5), 1105; https://doi.org/10.3390/s19051105 - 04 Mar 2019
Cited by 4
Open AccessArticle
Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing
Sensors 2019, 19(5), 1023; https://doi.org/10.3390/s19051023 - 28 Feb 2019
Cited by 6
Open AccessArticle
Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach
Sensors 2019, 19(3), 740; https://doi.org/10.3390/s19030740 - 12 Feb 2019
Cited by 8
Open AccessArticle
Adaptive Computing Optimization in Software-Defined Network-Based Industrial Internet of Things with Fog Computing
Sensors 2018, 18(8), 2509; https://doi.org/10.3390/s18082509 - 01 Aug 2018
Cited by 10
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