Special Issue "Sensor Networks and IoT in eHealth Applications"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".

Deadline for manuscript submissions: closed (30 April 2021).

Special Issue Editors

Dr. Şefki Kolozali
E-Mail Website
Guest Editor
Embedded and Intelligent Systems, School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, UK
Interests: Internet of Things; Internet of Things in healthcare; machine learning; signal processing; time series analysis; semantic web
Prof. Dr. Klaus Moessner
E-Mail Website1 Website2
Guest Editor
Professorship for Communications Engineering, Faculty of Electrical Engineering and Information Technology, Chemnitz University of Technology, 09107 Chemnitz, Germany, and Institute for Communication Systems, Department of Electrical and Electronic Engineering, University of Surrey, Guildford, Surrey GU2 7XH, UK
Interests: context and situation awareness; sensor and actuator networks; wireless and cellular communication systems
Special Issues, Collections and Topics in MDPI journals
Dr. Suparna De
E-Mail Website
Guest Editor
Department of Computer Science, University of Surrey, Guildford, Surrey GU2 7XH, UK
Interests: Internet of Things; data analytics; social computing; semantics
Special Issues, Collections and Topics in MDPI journals
Dr. Vera Stavroulaki
E-Mail Website
Guest Editor
WINGS ICT Solutions, Nea Smirni 171 21, Greece
Interests: Internet of Things; cloud and edge; digital twins; analytics; smart health; smart cities

Special Issue Information

Dear Colleagues,

With recent advancements in wireless connected medical sensors and powerful embedded hardware, the Internet of Things (IoT) and related technologies have started to play a crucial role in smart health and healthcare applications. The number of globally connected medical devices is set to exceed 50 billion in the next decade, according to a recent report by IBM. IoT healthcare devices have already started to revolutionise healthcare by speeding up treatments, diagnostic processes and facilitating proactive prevention strategies, reducing physician visits, continuously monitoring and measuring physiological signals from the human body, injecting pharmaceutical compounds into the body, in addition to providing rehabilitation support to users. Yet, there remain significant research challenges regarding the efficient operation and applicability of these smart healthcare systems. While it is beneficial to have such IoT systems for healthcare applications that are simultaneously accurate, energy-efficient, low cost, safe, seamlessly operable, and scalable, there are tradeoffs between these design goals that can affect the complexity of the solution both in technology as well as in usability. Energy efficiency and low-cost goals become challenging to achieve as the complexity of the systems increases. Similarly, if reduced complexity is a design goal, then accuracy and safety goals become challenging to meet.

This special issue aims to provide a forum for researchers and practitioners in academia and industry to present their latest notable research achievements and engineering experiences in developing and applying novel techniques for smart-health and IoT enabled healthcare systems.


Papers are invited in theory, modelling, algorithms, and applications of IoT healthcare technologies for various healthcare scenarios to establish the latest research in this area. Topics of interest include, but are not limited to:

  • Interpretable and explainable Data Science and data analytics in e-Health
  • Energy-efficient data compression and aggregation on the Internet of Medical Things
  • Change and Anomaly detection for preventive and diagnostic health monitoring
  • Causal Inference for smart healthcare systems
  • Privacy, Security, and Safety Issues related to smart healthcare
  • Cloud and Edge computing for IoT on e-Health
  • Telemedicine and telerehabilitation
  • Interoperability and standards for IoT on e-Health
  • Ambient assisted-living IoT for active and healthy ageing

Guest Editors

Dr. Şefki Kolozali
Prof. Dr. Klaus Moessner
Dr. Suparna De
Dr. Vera Stavroulaki

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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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.


  • IoT Healthcare
  • Smart Health
  • e-Health
  • Precision Health
  • Digital Health
  • Health Data-Analytics

Published Papers (1 paper)

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Improved Smart Pillow for Remote Health Care System
J. Sens. Actuator Netw. 2021, 10(1), 9; https://doi.org/10.3390/jsan10010009 - 28 Jan 2021
Cited by 1 | Viewed by 894
The outbreak of novel coronavirus (COVID-19) resulted in the clinical decision that reduced direct contact is optimal, especially for senior citizens residing in nursing homes. A smart pillow adapted for the Remote Healthcare System is presented in this paper, whose core is a [...] Read more.
The outbreak of novel coronavirus (COVID-19) resulted in the clinical decision that reduced direct contact is optimal, especially for senior citizens residing in nursing homes. A smart pillow adapted for the Remote Healthcare System is presented in this paper, whose core is a Bluetooth (BT) host equipped with temperature and pressure sensors. The measurement of Core Body Temperature (CBT) from the perspective of heat transfer is first analyzed, with two proven effective methods introduced—classical Zero-Heat-Flux (ZHF) and Dual-Heat-Flux (DHF)—then finally the similarities between the Smart Pillow and ZHF are demonstrated. A pressure pad is inserted inside the pillow to detect occupancy and the specific position of the head on the pillow that meets clinical diagnostic needs. Furthermore, a real-time proactive monitoring mode is enabled for urgent warnings, which forces the pillow to keep detecting and reporting data in a defined time duration but results in rapid battery drain of the pillow. In this way, the system can detect the CBT and in-bed situation of the inhabitant without being physically present to determine critical measurements. Utility of this system can be extended to elderly people living alone in regional or remote areas, such that medical help can be dispatched as soon as possible in case of medical emergency. Full article
(This article belongs to the Special Issue Sensor Networks and IoT in eHealth Applications)
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