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

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

Prof. Dr. S.M. Riazul Islam
Prof. Dr. Jaime Lloret Mauri
Prof. Dr. Yousaf Bin Zikria
Guest Editors

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

2. Prof. Dr. M. Abdullah-Al-Wadud
   Department of Software Engineering, King Saud University, Riyadh 11451, Saudi Arabia

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