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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: 15 May 2019

Special Issue Editors

Guest Editor
Dr. Antonio J. Jara

Department Information Technology, University of Applied Sciences Western Switzerland (HESSO), Route de Moutier 14, 2800 Delémont, Switzerland
Website | E-Mail
Interests: smart cities; security; devices management; platforms; data quality; environmental monitoring and mobility
Guest Editor
Dr. Houbing Song

Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Website | E-Mail
Interests: cyber-physical systems; signal processing for communications and networking; cloud computing/edge computing and verification
Guest Editor
Dr. Rodrigo Román-Castro

Department of Computer Science, University of Malaga, Campus de Teatinos s/n, 29071 Malaga, Spain
Website | E-Mail
Interests: Internet of Things; security; edge computing; Industry 4.0; security architectures

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 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.

Published Papers (1 paper)

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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
Received: 5 July 2018 / Revised: 30 July 2018 / Accepted: 31 July 2018 / Published: 1 August 2018
PDF Full-text (1674 KB) | HTML Full-text | XML Full-text
In recent years, cloud computing and fog computing have appeared one after the other, as promising technologies for augmenting the computing capability of devices locally. By offloading computational tasks to fog servers or cloud servers, the time for task processing decreases greatly. Thus,
[...] Read more.
In recent years, cloud computing and fog computing have appeared one after the other, as promising technologies for augmenting the computing capability of devices locally. By offloading computational tasks to fog servers or cloud servers, the time for task processing decreases greatly. Thus, to guarantee the Quality of Service (QoS) of smart manufacturing systems, fog servers are deployed at network edge to provide fog computing services. In this paper, we study the following problems in a mixed computing system: (1) which computing mode should be chosen for a task in local computing, fog computing or cloud computing? (2) In the fog computing mode, what is the execution sequence for the tasks cached in a task queue? Thus, to solve the problems above, we design a Software-Defined Network (SDN) framework in a smart factory based on an Industrial Internet of Things (IIoT) system. A method based on Computing Mode Selection (CMS) and execution sequences based on the task priority (ASTP) is proposed in this paper. First, a CMS module is designed in the SDN controller and then, after operating the CMS algorithm, each task obtains an optimal computing mode. Second, the task priorities can be calculated according to their real-time performance and calculated amount. According to the task priority, the SDN controller sends a flow table to the SDN switch to complete the task transmission. In other words, the higher the task priority is, the earlier the fog computing service is obtained. Finally, a series of experiments and simulations are performed to evaluate the performance of the proposed method. The results show that our method can achieve real-time performance and high reliability in IIoT. Full article
(This article belongs to the Special Issue Recent Advances in Fog/Edge Computing in Internet of Things)

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Migration of Edge Computing Services for IoTs in 5G Networks

Authors: Fang-Yie Leu 1, Heru Susanto 2,3 and Ping-Hung Chou 1

Institution 1: Department of Computer Science, Tunghai University, Taiwan

Institution 2: Department of Information Management, Tunghai University, Taiwan

Institution 3: The Indonesian Institute of Science, Indonesia

Abstract: According to Ericsson Mobility Report announced in 2017, by 2022, billions of User Equipment (UE) and IoT devices will connect to IoT networks for collecting our environmental and surrounding data. Since following users’ traveling, mobile devices, including UEs, healthcare monitoring devices, and other devices, may move to everywhere in the world. All edge computing services that serve these facilities need to migrate following the users’ roaming. In this paper, we would like to study how to migrate these services so as to serve/protect mobile devices no matter wherever they go. We have also developed the corresponding processing algorithms and their working sequences. We also evaluate the corresponding performance.

Keywords: edge computing, service migration, SDN controller, SDN, NFV


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