Special Issue "Cloud-Based Big Data Analytics in the Internet of Things and Smart Cities"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 June 2021.

Special Issue Editors

Prof. Gyu Myoung Lee
Website
Guest Editor
Reader, School of Computer Science and Mathematics, Liverpool John Moores University, L3 3AF, Liverpool, UK, Adjunct Professor, Daejeon, South Korea
Interests: internet of things; digital twin; trust in AI and data; 5G/6G networks
Special Issues and Collections in MDPI journals
Dr. Ehsan Ahvar
Website
Guest Editor
ESIEA Graduate Engineering School in Digital Sciences and Technologies, Paris, France
Interests: Internet of Things; Cloud Computing; AI and Data Science
Dr. Shohreh Ahvar
Website
Guest Editor
ISEP Graduate Engineering School in Digital Sciences and Technologies, Paris, France
Interests: Big Data; Internet of Things; Middleware and Virtualization
Dr. S. H. Shah Newaz
Website
Guest Editor
School of Computing and Informatics, Universiti Teknologi Brunei (UTB), Brunei Darussalam
Interests: Edge computing; Internet of Things; Green networking
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) and, in particular, smart cities (i.e., as one of the main use cases of IoT), have recently provided a new application domain for data analytics, where relatively few studies have been reported in the literature.

The IoT often generates a large amount of data (Big Data). However, Big Data analytics for IoT is quite complex due to a variety of issues, such as: i) the requirements of cross-thematic applications (e.g., energy, transport, water and urban), ii) multiple data sources providing unstructured, semi-structured or structured data, and iii) the trustworthiness of data.

On the other hand, a review of the state of the art shows very promising insights about utilizing cloud computing resources for IoT-based Big Data analytics. It can provide solutions to facilitate storing, processing, and analyzing Big Data for information and knowledge generation with artificial intelligence (AI) techniques.

This Special Issue aims to explore the potential of cloud computing (i.e., including all cloud-related technologies including edge/fog computing) and Big Data analytics in IoT and  smart cities by going beyond the existing conventional approaches and architectures.

The topics of interest for this Special Issue include, but are not limited to, the following:

  • Architecture for cloud-based data analytics: from a centralized to fully distributed architecture;
  • Data-driven IoT applications (e.g., smart cities, industrial, healthcare applications, etc.);
  • AI techniques for autonomous IoT applications;
  • Cloud computing technologies for IoT (e.g., Native Cloud, Serverless Cloud, etc.);
  • Edge/Fog/ROOF computing, edge intelligence in IoT and smart cities;
  • Hierarchical computing, centralized/distributed/decentralized computing for IoT;
  • 5G MEC-based IoT and smart cities;
  • Security, privacy and trust in IoT, Big Data and AI;
  • Support of emerging technologies (i.e., digital twin, blockchain, etc.).

Prof. Gyu Myoung Lee
Dr. Ehsan Ahvar
Dr. Shohreh Ahvar
Dr. S. H. Shah Newaz
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. Electronics 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.

Keywords

  • Cloud computing
  • Edge computing
  • Internet of Things
  • Smart cities
  • Big Data
  • Data analytics

Published Papers

This special issue is now open for submission.
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