Advances in Wireless Body Area Networks (WBAN): Real-Time and Reliable Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 1618

Special Issue Editors

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Guest Editor
School of IT & Engineering, Melbourne Institute of Technology, The Argus, 288 La Trobe St., Melbourne, VIC 3000, Australia
Interests: wireless body area network (WBAN); wireless sensor network (WSN); machine learning; game based learning; gamification; mobile learning; error correction
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Guest Editor
School of Design, Torrens University, Sydney, NSW 2007, Australia
Interests: cybersecurity for Internet of Things (IoT) applications; IoT fog analytics for real-time ICT applications (augmented reality); smart cities and real-time digital infrastructures (smart traffics and digital twins)
Special Issues, Collections and Topics in MDPI journals
School of Engineering and Technology, CQUniversity Brisbane, 160 Ann St., Brisbane City, QLD 4000, Australia
Interests: artificial intelligence; pattern recognition; computer vision; machine learning; computational science; data science; digital agriculture; agroinformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wireless body area networks (WBANs) can be seen as wireless networks in and around the human body. A WBAN combines the study of medical, non-medical fields, and communication technologies. WBAN has received increasing attention and has been widely researched due to its potential use in medical and non-medical applications. As a WBAN is around the human body, the communication distance between devices in a WBAN is short, typically a few meters. A WBAN is realized through the integration of different sensor and actuator nodes (usually battery-operated) and communication technologies to allow interconnection in and around the human body. In recent years, there have been remarkable developments in WBANs due to the growth in the use of wearable, implantable sensors, and the associated communication technologies. WBANs platforms are anticipated to transform healthcare services and quality of life by providing real-time interactions between physicians and patients, but this comes with some challenges.

This Special Issue is dedicated to publishing novel contributions from researchers around the world on the realization of real-time and reliable WBANs for various medical and non-medical applications. These contributions will address major challenges including energy harvesting, communications reliability, human body communications, wireless routing protocols, data security, data privacy, ICT ethical issues, wearable health monitoring, cloud computing, IoT, and machine learning in WBANs, to name a few. We therefore welcome researchers, academics, and industry experts who work in WBANs and the related fields to consider submitting original high-quality papers or comprehensive review papers to this Special Issue.

This special issue is supported by Electronics Mentor Program. The mentor program intends to provide an opportunity for early career scientists to enhance their editing, networking, and organizational skills and to work closely with our journal to gain more editorial experience. Early career scientists who have novel ideas for new Special Issues of Electronics (ISSN: 2079-9292) will act as Guest Editors under the mentorship of an experienced scientist; this mentor could be a member of the Electronics Editorial Board or may be from other well-established research institutes or laboratories, etc.

Dr. Rajan Kadel
Prof. Dr. Tony Jan
Prof. Dr. Paul Kwan
Guest Editors

Certificates and awards:

When the Special Issue is closed, the Editorial Office will provide official certificates for all of the mentors. The young scholars involved in the program will be prioritized as candidates for Electronics Young Investigator Awards in the future.

If you are interested in this opportunity, please send your Special Issue proposal to the Electronics Editorial Office ( or ), and we will discuss the process (mentor collaboration, Special Issue topic feasibility analysis, etc.) in further detail.

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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 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.


  • real-time communications
  • communication reliability
  • WBAN security and privacy
  • energy efficiency and energy harvesting
  • human body communications
  • wearable health monitoring applications
  • special application case studies
  • WBAN networking and routing protocols
  • cloud-based and machine learning
  • ethical and social issues

Published Papers (1 paper)

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19 pages, 7378 KiB  
ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems
by Steven Puckett and Emil Jovanov
Electronics 2023, 12(20), 4226; - 12 Oct 2023
Cited by 2 | Viewed by 1001
The growth of the Internet of Medical Things (IoMT) and healthcare data analytics allows wearable Wireless Body Area Networks (WBANs) and ambient sensors to collect the large quantities of physiological signals necessary for better patient diagnostics and treatments. Artificial intelligence and machine learning [...] Read more.
The growth of the Internet of Medical Things (IoMT) and healthcare data analytics allows wearable Wireless Body Area Networks (WBANs) and ambient sensors to collect the large quantities of physiological signals necessary for better patient diagnostics and treatments. Artificial intelligence and machine learning algorithms frequently require precisely synchronized signals from multiple sensors, which in turn require time-consuming and energy-inefficient synchronization methods with constant wireless network connectivity. We propose ecoSync, a highly energy-efficient time synchronization algorithm for Wi-Fi devices in IoMT applications. We demonstrated that ecoSync can correct the time difference error to ±42 µs with an hour between resynchronizations, using only 658 millijoules of energy. This is an 87% improvement in time difference error and a 99.93% reduction in energy usage over using TSF for synchronization alone over a 1 h period. Wireless synchronization of sensors allows placement of physiological sensors on objects of everyday use (Smart Stuff), which in turn allows seamless collection of physiological status data every time we interact with smart objects in an IoMT environment. Full article
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