Special Issue "Internet of Things (IoT)-Based Wireless Health: Enabling Technologies and Applications"

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

Deadline for manuscript submissions: 31 July 2020.

Special Issue Editors

Prof. Dr. S.M. Riazul Islam
Website
Guest Editor
Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea
Interests: Internet of things; 5G systems; wireless communications; bioinformatics
Prof. Dr. Jaime Lloret Mauri
Website
Guest Editor
Department of Communications, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain
Interests: network protocols; network algorithms; wireless sensor networks; ad hoc networks; multimedia streaming
Special Issues and Collections in MDPI journals
Prof. Dr. Yousaf Bin Zikria
Website
Guest Editor
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea
Interests: IoT; 5G; wireless networks; cognitive radio networks; information and network security
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Wireless health is transforming health care by integrating wireless technologies into conventional medicine, including the diagnosis, monitoring, and treatment of illness. The list of tools for wirelessly monitoring and diagnosing disease is expanding. The ability to remotely manage drugs and health devices is increasing. With the aid of smart and intelligent systems, the knowledge of how genetics affects susceptibilities to disease is growing. These trends suggest that the society is approaching towards a revolution in health care. The role that wireless health plays is being further enhanced by the Internet of things (IoT). The IoT revolution is reshaping modern healthcare with promising technological, economic, and social prospects. IoT-based healthcare services are expected to further reduce costs, increase the quality of life, and enrich the user’s experience. Despite the enormous potentials and a decent amount of existing research, IoT-based healthcare comes with several difficulties in its path, including regulatory hurdles, privacy, and interoperability standards. The IoT still remains in its infancy in the healthcare field, and researchers across the world are therefore working hard to address the potential of the IoT in the healthcare field, with consideration of the various practical challenges. The purpose of this Special Issue is to present recent novel advances in enabling technologies for IoT-based wireless health.

Both theoretical and practical papers are solicited on the following related aspects: algorithms, system design, performance analysis, and experimental studies. Potential topics include, but are not limited to, the keywords listed below.

  • Network architectures and platforms for IoT-based wireless health
  • Applications and industrial trends in IoT-based wireless health
  • Security and privacy features for IoT-based wireless health
  • Policies and regulations for IoT-based wireless health
  • Integration of big data and ambient intelligence with IoT-based wireless health
  • Sensors and wearables for IoT-based wireless health
  • Ontology and semantic knowledge for IoT-based wireless health
  • Precision medicine and wireless health
  • Machines learning and bioinformatics in wireless health
  • Uses of smartphone in health care
  • Technology convergence and standardization issues for IoT-based wireless health
  • Energy-efficient protocols for IoT-based wireless health
  • QoS Issues for IoT-based wireless health
  • Cost Analysis for IoT-based wireless health
  • Business model for IoT-based wireless health

The technical program committee members are as follows:

  1. Prof. Dr. Tao Han

School of Electronic Information and Communications, Huazhong University of Science and Technology, Hubei 430074, China

  1. Prof. Dr. M. Abdullah-Al-Wadud

Department of Software Engineering, King Saud University, Riyadh 11451, Saudi Arabia

Prof. Dr. S.M. Riazul Islam
Prof. Dr. Jaime Lloret Mauri
Prof. Dr. Yousaf Bin Zikria
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 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. Electronics 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 1400 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

  • Network architectures and platforms for IoT-based wireless health
  • Applications and industrial trends in IoT-based wireless health
  • Security and privacy features for IoT-based wireless health
  • Policies and regulations for IoT-based wireless health
  • Integration of big data and ambient intelligence with IoT-based wireless health
  • Sensors and wearables for IoT-based wireless health
  • Ontology and semantic knowledge for IoT-based wireless health
  • Precision medicine and wireless health
  • Machines learning and bioinformatics in wireless health
  • Uses of smartphones in health care
  • Technology convergence and standardization issues for IoT-based wireless health
  • Energy-efficient protocols for IoT-based wireless health
  • QoS Issues for IoT-based wireless health
  • Cost Analysis for IoT-based wireless health
  • Business model for IoT-based wireless health

Published Papers (7 papers)

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Research

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Open AccessFeature PaperArticle
A Smart Glucose Monitoring System for Diabetic Patient
Electronics 2020, 9(4), 678; https://doi.org/10.3390/electronics9040678 - 22 Apr 2020
Abstract
Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices can reduce these costs, helping the diabetic patient. This paper presents an intelligent architecture [...] Read more.
Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices can reduce these costs, helping the diabetic patient. This paper presents an intelligent architecture for the surveillance of diabetic disease that will allow physicians to remotely monitor the health of their patients through sensors integrated into smartphones and smart portable devices. The proposed architecture includes an intelligent algorithm developed to intelligently detect whether a parameter has exceeded a threshold, which may or may not involve urgency. To verify the proper functioning of this system, we developed a small portable device capable of measuring the level of glucose in the blood for diabetics and body temperature. We designed a secure mechanism to establish a wireless connection with the smartphone. Full article
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Open AccessArticle
Open IoT Architecture for Continuous Patient Monitoring in Emergency Wards
Electronics 2019, 8(10), 1074; https://doi.org/10.3390/electronics8101074 - 23 Sep 2019
Cited by 2
Abstract
Due to multiple reasons, emergency wards can become overloaded with patients, some of which can be in critical health conditions. To improve the emergency service and avoid deaths and serious adverse events that could be potentially prevented, it is mandatory to do a [...] Read more.
Due to multiple reasons, emergency wards can become overloaded with patients, some of which can be in critical health conditions. To improve the emergency service and avoid deaths and serious adverse events that could be potentially prevented, it is mandatory to do a continuous monitoring of patients physiological parameters. This is a good fit for Internet of Things (IoT) technology, but the scenario imposes hard constraints on autonomy, connectivity, interoperability, and delay. In this paper, we propose a full Internet-based architecture using open protocols from the wearable sensors up to the monitoring system. Particularly, we use low-cost and low-power WiFi-enabled wearable physiological sensors that connect directly to the Internet infrastructure and run open communication protocols, namely, oneM2M. At the upper end, our architecture relies on openEHR for data semantics, storage, and monitoring. Overall, we show the feasibility of our open IoT architecture exhibiting 20–50 ms end-to-end latency and 30–50 h sensor autonomy at a fraction of the cost of current non-interoperable vertical solutions. Full article
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Open AccessArticle
An Intelligent Air Quality Sensing System for Open-Skin Wound Monitoring
Electronics 2019, 8(7), 801; https://doi.org/10.3390/electronics8070801 - 17 Jul 2019
Cited by 1
Abstract
There are many factors that may have a significant effect on the skin wound healing process. The environment is one of them. Although different previous research woks have highlighted the role of environmental elements such as humidity, temperature, dust, etc., in the process [...] Read more.
There are many factors that may have a significant effect on the skin wound healing process. The environment is one of them. Although different previous research woks have highlighted the role of environmental elements such as humidity, temperature, dust, etc., in the process of skin wound healing, there is no predefined method available to identify the favourable or adverse environment conditions that seriously affect (positively or negatively) the skin wound healing process. In the current research work, an IoT-based approach is used to design an AQSS (Air Quality Sensing System) using sensors for the acquisition of real-time environment data, and the SVM (Support Vector Machine) classifier is applied to classify environments into one of the two categories, i.e., “favourable”, and “unfavourable”. The proposed system is also supported with an Android application to provide an easy-to-use interface. The proposed system provides an easy and simple means for patients to evaluate the environmental parameters and monitor their effects in the process of open skin wound healing. Full article
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Open AccessArticle
A Comprehensive Medical Decision–Support Framework Based on a Heterogeneous Ensemble Classifier for Diabetes Prediction
Electronics 2019, 8(6), 635; https://doi.org/10.3390/electronics8060635 - 05 Jun 2019
Cited by 1
Abstract
Early diagnosis of diabetes mellitus (DM) is critical to prevent its serious complications. An ensemble of classifiers is an effective way to enhance classification performance, which can be used to diagnose complex diseases, such as DM. This paper proposes an ensemble framework to [...] Read more.
Early diagnosis of diabetes mellitus (DM) is critical to prevent its serious complications. An ensemble of classifiers is an effective way to enhance classification performance, which can be used to diagnose complex diseases, such as DM. This paper proposes an ensemble framework to diagnose DM by optimally employing multiple classifiers based on bagging and random subspace techniques. The proposed framework combines seven of the most suitable and heterogeneous data mining techniques, each with a separate set of suitable features. These techniques are k-nearest neighbors, naïve Bayes, decision tree, support vector machine, fuzzy decision tree, artificial neural network, and logistic regression. The framework is designed accurately by selecting, for every sub-dataset, the most suitable feature set and the most accurate classifier. It was evaluated using a real dataset collected from electronic health records of Mansura University Hospitals (Mansura, Egypt). The resulting framework achieved 90% of accuracy, 90.2% of recall = 90.2%, and 94.9% of precision. We evaluated and compared the proposed framework with many other classification algorithms. An analysis of the results indicated that the proposed ensemble framework significantly outperforms all other classifiers. It is a successful step towards constructing a personalized decision support system, which could help physicians in daily clinical practice. Full article
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Open AccessArticle
HealthyBroker: A Trustworthy Blockchain-Based Multi-Cloud Broker for Patient-Centered eHealth Services
Electronics 2019, 8(6), 602; https://doi.org/10.3390/electronics8060602 - 29 May 2019
Cited by 4
Abstract
Delivering electronic health care (eHealth) services across multi-cloud providers to implement patient-centric care demands a trustworthy brokering architecture. Specifically, such an architecture should aggregate relevant medical information to allow informed decision-making. It should also ensure that this information is complete and authentic and [...] Read more.
Delivering electronic health care (eHealth) services across multi-cloud providers to implement patient-centric care demands a trustworthy brokering architecture. Specifically, such an architecture should aggregate relevant medical information to allow informed decision-making. It should also ensure that this information is complete and authentic and that no one has tampered with it. Brokers deployed in eHealth services may fall short of meeting such criteria due to two key behaviors. The first involves violating international health-data protection laws by allowing user anonymity and limiting user access rights. Second, brokers claiming to provide trustworthy transactions between interested parties usually rely on user feedback, an approach vulnerable to manipulation by malicious users. This paper addresses these data security and trust challenges by proposing HealthyBroker, a novel, trust-building brokering architecture for multiple cloud environments. This architecture is designed specifically for patient-centric cloud eHealth services. It enables care-team members to complete eHealth transactions securely and access relevant patient data on a “need-to-know” basis in compliance with data-protection laws. HealthyBroker also protects against potential malicious behavior by assessing the trust relationship and tracking it using a neutral, tamper-proof, distributed blockchain ledger. Trust is assessed based on two strategies. First, all transactions and user feedback are tracked and audited in a distributed ledger for transparency. Second, only feedback coming from trustworthy parties is taken into consideration. HealthyBroker was tested in a simulated eHealth multi-cloud environment. The test produced better results than a benchmark algorithm in terms of data accuracy, service time, and the reliability of feedback received as measured by three malicious behavior models (naïve, feedback isolated, and feedback collective). These results demonstrate that HealthyBroker can provide care teams with a trustworthy, transparent ecosystem that can facilitate information sharing and well-informed decisions for patient-centric care. Full article
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Review

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Open AccessReview
Role of IoT Technology in Agriculture: A Systematic Literature Review
Electronics 2020, 9(2), 319; https://doi.org/10.3390/electronics9020319 - 12 Feb 2020
Cited by 2
Abstract
The growing demand for food in terms of quality and quantity has increased the need for industrialization and intensification in the agriculture field. Internet of Things (IoT) is a highly promising technology that is offering many innovative solutions to modernize the agriculture sector. [...] Read more.
The growing demand for food in terms of quality and quantity has increased the need for industrialization and intensification in the agriculture field. Internet of Things (IoT) is a highly promising technology that is offering many innovative solutions to modernize the agriculture sector. Research institutions and scientific groups are continuously working to deliver solutions and products using IoT to address different domains of agriculture. This paper presents a systematic literature review (SLR) by conducting a survey of IoT technologies and their current utilization in different application domains of the agriculture sector. The underlying SLR has been compiled by reviewing research articles published in well-reputed venues between 2006 and 2019. A total of 67 papers were carefully selected through a systematic process and classified accordingly. The primary objective of this systematic study is the collection of all relevant research on IoT agricultural applications, sensors/devices, communication protocols, and network types. Furthermore, it also discusses the main issues and challenges that are being investigated in the field of agriculture. Moreover, an IoT agriculture framework has been presented that contextualizes the representation of a wide range of current solutions in the field of agriculture. Similarly, country policies for IoT-based agriculture have also been presented. Lastly, open issues and challenges have been presented to provide the researchers promising future directions in the domain of IoT agriculture. Full article
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Open AccessFeature PaperReview
Internet of Things Architectures, Technologies, Applications, Challenges, and Future Directions for Enhanced Living Environments and Healthcare Systems: A Review
Electronics 2019, 8(10), 1081; https://doi.org/10.3390/electronics8101081 - 24 Sep 2019
Cited by 15
Abstract
Internet of Things (IoT) is an evolution of the Internet and has been gaining increased attention from researchers in both academic and industrial environments. Successive technological enhancements make the development of intelligent systems with a high capacity for communication and data collection possible, [...] Read more.
Internet of Things (IoT) is an evolution of the Internet and has been gaining increased attention from researchers in both academic and industrial environments. Successive technological enhancements make the development of intelligent systems with a high capacity for communication and data collection possible, providing several opportunities for numerous IoT applications, particularly healthcare systems. Despite all the advantages, there are still several open issues that represent the main challenges for IoT, e.g., accessibility, portability, interoperability, information security, and privacy. IoT provides important characteristics to healthcare systems, such as availability, mobility, and scalability, that offer an architectural basis for numerous high technological healthcare applications, such as real-time patient monitoring, environmental and indoor quality monitoring, and ubiquitous and pervasive information access that benefits health professionals and patients. The constant scientific innovations make it possible to develop IoT devices through countless services for sensing, data fusing, and logging capabilities that lead to several advancements for enhanced living environments (ELEs). This paper reviews the current state of the art on IoT architectures for ELEs and healthcare systems, with a focus on the technologies, applications, challenges, opportunities, open-source platforms, and operating systems. Furthermore, this document synthesizes the existing body of knowledge and identifies common threads and gaps that open up new significant and challenging future research directions. Full article
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