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Surveillance and Monitoring of Data Using Edge/Fog Computing in Secure IoT Platforms

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

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 629

Special Issue Editors

School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
Interests: pattern recognition; machine learning; data analytics; process mining; cloud/edge computing; Internet of things (IoT); encryption; watermarking; industry; healthcare
School of Computing, Ulster University, Jordanstown, Newtownabbey Co. Antrim BT37 0QB, UK
Interests: data mining; process mining; Markov models; pervasive computing; optimization; statistics
Special Issues, Collections and Topics in MDPI journals
College of Applied Computer Science, King Saud University, Saudi Arabia
Interests: Internet of Things (IoT); cloud/edge computing; data analysis; learning (artificial intelligence); Big Data; mobile and wireless networks; big data analytics; information security

Special Issue Information

Dear Colleagues,

In IoT (the Internet of Things) platforms, sensors generate a huge amount of data for a particular application. This application might be remote surveillance and monitoring of different diseases, such as to observe a change in the health of a person or to detect the change in the state of a sleep-disordered subject’s breathing during the night for paramedics to take the appropriate action. Some other challenging applications might be the prediction of faults to avoid any disturbance/discontinuity of various services (broadband, landline and television) using real-time user data sent back by Wi-Fi routers for better customer experience. The nature of data in such applications can be speech, images, videos, multidimensional time series representing different measures, and other types of sensor data such as ECG/EEG/EMG signals.

The objective of this Special Issue is to showcase computationally efficient intelligent systems for IoT-based applications using statistical models and machine learning. The huge amount of data collected by sensors is not possible to process, as it makes the IoT platform painfully slow. Unnecessary data should be analyzed and rectified at the point of collection or before transmission using Edge/Fog computing with efficient intelligent systems. Furthermore, to avoid breach of sensitive information, the sensor data should not be stored/transmit in the original form. This Special Issue includes but is not limited to the following topics:

  • Real-time analysis to eliminate unwanted data in IoT-based applications;
  • Feature engineering for identification of patterns in data;
  • Computationally efficient Intelligent systems for Edge/Fog computing;
  • New approaches for privacy and security of sensitive information;
  • Innovative methods to examine integrity of data for reliable decision making.

Dr. Zulfiqar Ali
Prof. Dr. Sally McClean 
Dr. Muhammad Imran
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 submissions that pass pre-check are 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 2600 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

There is no accepted submissions to this special issue at this moment.
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