Internet of Things (IoT) for Smart Living and Public Health, Volume II

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 443

Special Issue Editor


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Guest Editor
Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B, Canada
Interests: healthcare systems; ubiquitous and pervasive computing; context-aware applications; Internet of Things (IoT); Cloud computing, smart healthcare systems; smart city
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Special Issue Information

Dear Colleagues,

The field of The Internet of Things (IoT) has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, and machine learning. Traditional fields of embedded systems, wireless sensor networks, control systems, and automation (including home and building automation), independently and collectively, enable the Internet of Things. In the consumer market, IoT  technology is most synonymous with products pertaining to the concept of “smart living”, including devices and appliances (such as lighting fixtures, thermostats, home security systems, cameras, and other home appliances) that support one or more common ecosystems and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers. The IoT is also used in healthcare systems.

Hence, we are inviting innovative solutions that highlight relevant Internet of Things issues, challenges, and solutions for smart living and public health. Topics include, but are not limited to:

  • Smart IoT technologies;
  • Impact of IoT technologies on smart living;
  • Testbeds, applications, case studies, and social issues in the IoT
  • environment;
  • Smart healthcare systems;
  • Privacy and security in healthcare;
  • Machine learning algorithms for medical diagnosis;
  • Electronic wearable solutions for smart homes and workplaces;
  • IoT-enabled healthcare services;
  • Embedded systems in healthcare;
  • AI-based healthcare diagnosis and prevention;
  • Latest trends and technologies in the IoMT and AIoMT area;
  • Fog- and edge-computing-based healthcare framework.

Prof. Dr. Hamid Mcheick
Guest Editor

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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • smart living
  • IoMT
  • smart healthcare systems

Published Papers (1 paper)

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Research

21 pages, 4618 KiB  
Article
Towards an Optimized Blockchain-Based Secure Medical Prescription-Management System
by Imen Ahmed, Mariem Turki, Mouna Baklouti, Bouthaina Dammak and Amnah Alshahrani
Future Internet 2024, 16(7), 243; https://doi.org/10.3390/fi16070243 - 9 Jul 2024
Abstract
This work introduces a blockchain-based secure medical prescription-management system seamlessly integrated with a dynamic Internet of Things (IoT) framework. Notably, this integration constitutes a pivotal challenge in the arena of resource-constrained IoT devices: energy consumption. The choice of a suitable blockchain consensus mechanism [...] Read more.
This work introduces a blockchain-based secure medical prescription-management system seamlessly integrated with a dynamic Internet of Things (IoT) framework. Notably, this integration constitutes a pivotal challenge in the arena of resource-constrained IoT devices: energy consumption. The choice of a suitable blockchain consensus mechanism emerges as the linchpin in surmounting this hurdle. Thus, this paper conducts a comprehensive comparison of energy consumption between two distinct consensus mechanisms: Proof of Work (PoW) and Quorum-based Byzantine fault tolerance (QBFT). Furthermore, an assessment of the most energy-efficient algorithm is performed across multiple networks and various parameters. This approach ensures the acquisition of reliable and statistically significant data, enabling meaningful conclusions to be drawn about the system’s performance in real-world scenarios. The experimental results show that, compared to the PoW, the QBFT consensus mechanism reduced the energy consumption by an average of 5%. This finding underscores the significant advantage of QBFT in addressing the energy consumption challenges posed by resource-constrained IoT devices. In addition to its inherent benefits of privacy and block time efficiency, the Quorum blockchain emerges as a more sustainable choice for IoT applications due to its lower power consumption. Full article
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