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Applied Sciences
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IoT in Smart Cities and Homes, 3rd Edition
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IoT in Smart Cities and Homes, 3rd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 December 2025 | Viewed by 486

Special Issue Editors

Dr. Ryan Gibson

E-Mail Website
Guest Editor
Division for Computing, School of Computing, Engineering and Physical Sciences, University of the West of Scotland, High Street, Paisley PA1 2BE, UK
Interests: computer vision; embedded systems; machine learning; Internet of Things; signal processing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hadi Larijani

E-Mail Website
Guest Editor
SMART Technology Research Centre, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Interests: computer networking; network security; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is a unique domain where various technologies converge to deliver novel high-impact smart solutions across various sectors, including digital health, optimized transportation, predictive maintenance, energy efficiency, and improved environmental sustainability. IoT is a key enabler of current advancements in complex, dynamic, and evolving environments, such as smart homes and large geographical smart city applications. Current advances in IoT capabilities have accelerated creativity and achieved previously unobtainable technological solutions. These novel IoT applications deliver high-impact solutions within society through leveraging a range of key technologies, including smart sensing, long-range and low-power communications, edge computing devices, wearable technologies, cyber security, environmental sensors, big data analysis, machine learning, fog computing, and data science and analysis.

This Special Issue of Applied Sciences invites submissions that present new ideas, experiments, high-impact advances, and findings related to IoT applications for smart cities and homes.

Dr. Ryan Gibson
Prof. Dr. Hadi Larijani
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. Applied Sciences 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 2400 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

  • Internet of Things
  • intelligent systems
  • smart sensing
  • wearable devices
  • low-power communications
  • edge computing
  • fog computing
  • artificial intelligence
  • machine learning
  • deep learning
  • algorithmic implementation
  • optimization methods
  • data science

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Published Papers (1 paper)

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Research

26 pages, 1165 KB  
Article
A Set Theoretic Framework for Unsupervised Preprocessing and Power Consumption Optimisation in IoT-Enabled Healthcare Systems for Smart Cities
by Sazia Parvin and Kiran Fahd
Appl. Sci. 2025, 15(16), 9047; https://doi.org/10.3390/app15169047 - 16 Aug 2025
Viewed by 359
Abstract
The emergence of the Internet of Things (IoT) has brought about a significant technological shift, coupled with the rise of intelligent computing. IoT integrates various digital and analogue devices with the Internet, enabling advanced communication between devices and humans.The pervasive adoption of IoT [...] Read more.
The emergence of the Internet of Things (IoT) has brought about a significant technological shift, coupled with the rise of intelligent computing. IoT integrates various digital and analogue devices with the Internet, enabling advanced communication between devices and humans.The pervasive adoption of IoT has transformed urban infrastructures into interconnected smart cities. Here, we propose a framework that mathematically models and automates power consumption management for IoT devices in smart city environments ranging from residential buildings to healthcare settings. The proposed framework utilises set theoretic association-rule mining and combines unsupervised preprocessing with frequent-item set mining and iterative numerical optimisation to reduce non-critical energy consumption. Readings are first converted into binary transaction matrices; then a modified Apriori algorithm is applied to extract high-confidence usage patterns and association rules. Dimensionality reduction techniques compress these transaction profiles, while the Gauss–Seidel method computes control set points that balance energy efficiency. The resulting rule set is deployed through a web portal that provides real-time device status, remote actuation, and automated billing. These associative rules generate predictive control functions, optimise the response of the framework, and prepare the framework for future events. A web portal is introduced that enables remote control of IoT devices and facilitates power usage monitoring, as well as automated billing. Full article
(This article belongs to the Special Issue IoT in Smart Cities and Homes, 3rd Edition)
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