Collection
Interdisciplinary: Advanced Internet of Things for Smart Healthcare
Smart healthcare based on Internet of Things is usually implemented with wearable sensors, actuators and communication protocols such as wireless body area networks which is to establish and delivery the information stably and reliably. But, it is still at the initial stage, some technical issues have not address well yet. For example, privacy and security are one of big concerns for deployment of smart healthcare. In this Topical Collection, we willingly welcome all researchers to consider technological advances in Smart health and the integration of interdisciplinary engineering/science technologies to contribute to sustainable growth. Topics of interest include but are not limited to:
-Security and privacy of IoT for smart healthcare
-Network Architecture for smart healthcare including edge computing
-IoT based wireless body area networks
-Energy efficient communication protocol for IoT based smart healthcare
-Simulation, testbed and emulator for IoT based smart healthcare
-Low latency and high reliability of IoT based smart healthcare
-IoT cloud convergence technologies for smart healthcare
-New technologies for device hardware and software
-Personalized smart healthcare
Editors
-
Ki-Il Kim
Ki-Il Kim, PhD, Chungnam National University, South Korea. Ki-Il Kim received the M.S. and Ph.D. degrees in computer science from Chungnam National University, Daejeon, South Korea, in 2002 and 2005, respectively. He is with the Department of Computer Science and Engineering, Chungnam National University. Prior to joining, he has been with the Department of Informatics, Gyeongsang National University, Jinju, South Korea, since 2006. His research interests include machine learning for networks, network architecture for AI, wireless/mobile network, fog computing, MANET, QoS in wireless network, and sensor networks.
-
Babar Shah
Babar Shah, PhD, Zayed University, UAE. Babar Shah received the M.S. degree from the University of Derby, Derby, U.K., in 2007, and the Ph.D. degree from Gyeongsang National University, Jinju, South Korea, in 2014. He is an Associate Professor with the College of Technological Innovation, Zayed University, Dubai, UAE. He has authored over 50 scientific research articles in prestigious international journals and conferences. His research interests include WSN, WBAN, IoT, churn prediction, security, real-time communication, and mobile P2P networks.
-
Abrar Ullah
Abrar Ullah, PhD, Heriot-Watt University, UK. He is an Associate Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, UK. Dr Ullah has over 20 years of experience in both industry and academia. He has worked on different positions as lecturer, developer, lead developer, and senior systems analyst. He has worked for Cardiff University (2008-2017), Cardiff Metropolitan University (2017-2019) and Health Education and Improvement Wales (HEIW) (2018-2019).
