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Smart IOT and Edge/Fog Computing for Connected Healthcare

Editorial Board
Lead Guest Editors:
  • Jothi K R ()
Guest Editors:
  • Kanagachidambaresan Ramasubramanian (Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)
  • Saravana Balaji B ()
Aims & Scope
The aim of this special issue is to invite high quality unpublished research articles on the development of fog computing infrastructure for next generation connected healthcare networks, articulate new perspectives and present open technical challenges. Original review and survey articles are also invited for submission. The central theme of this special issue is “Smart IoT and Edge/Fog Computing afor Connected Healthcare”. As the Internet of Things (IoT) devices continues to grow, more and more devices are connected and the network traffic will be the bottleneck for future. In order to minimize the network traffic on these network, these IoT devices can be utilized for computation at the network edge. These network edges forms the basics of Fog Computing. Fog Computing will play an important role in future connected health systems. It encompasses the cloud infrastructure by processing and storing data between Internet of Things (IoT) medical devices and cloud environments. Fog computing is already progressively penetrating the area of connected healthcare, especially to improve tele-health and telemedicine infrastructure that promise to manage with the growing healthcare needs in elderly population and individuals with chronic conditions around the world. The fog nodes may mine the context-aware information from various wearable devices such as blood pressure and electrocardiogram to diagnose and treat cardiovascular diseases, and may also be used to detect and report fall detection of critical patients. Furthermore, in the context of body area networks, fog nodes may communicate with the coordinators for real-time health monitoring, which may ultimately reduce latency caused by data classification and processing at the coordinators. Since fog nodes collect and process life-critical data, strong encryption and security mechanisms may be required to prevent patients’ privacy, confidentiality, integrity, and any other malicious interactions with the fog infrastructure.Connected health is a socio-technical model for healthcare management which delivers the healthcare services remotely. Connected healthcare will maximize the healthcare resources and provide increased, flexible opportunities for individuals to engage with doctors and self-care. Connected healthcare defines the use of Internet, sensing, communications, and intelligent techniques in support of health related applications, systems, and engineering.Connected healthcare will be realized with full potential by providing all necessary medical information to the individuals by continuous sensing, monitoring, and assessment. Connected healthcare technologies will empower preventive healthcare and personalized healthcare. In this scenario, a number of challenges still need to be addressed in the areas of fog computing and provide efficient connected healthcare for individuals across the globe.
This Special Issue (SI) aims to report high-quality research on recent advances in various aspects of Fog Computing and Connected Healthcare, more specifically to the state-of-the-art approaches, methodologies, and systems in the design, development, deployment and innovative use of networked services, mobile-enabled devices, communications, tools and technologies for providing insights into connected healthcare service demands. Authors are solicited to submit complete, previously unpublished contributions in the following topics. Topics include, but are not limited to:
  • Smart IoT system design for healthcare
  • Integrated communication and computing design for fog/edge computing-based Connected Healthcare
  • Healthcare data processing, data analytics, and data mining
  • Wearable computing, edge computing, and pervasive computing
  • Body area networks
  • Artificial intelligence (AI) in healthcare
  • Security, privacy, and trust for connected health services/applications
  • Smart diagnosis and predictive evaluation for mobile-enabled connected healthcare
  • Connected home healthcare for elderly individuals
  • Smart patient condition screening, visualization and monitoring
  • Innovative mobile-enabled networking services in connected healthcare
  • Machine learning for fog/edge computing-based connected healthcare
  • Smart Wearable IoT Devices
  • Simulation tools, testbed and performance of connected healthcare
  • Medical image/video processing and visualization of connected healthcare
  • Drones and connected healthcare
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):

Pervasive Health and Technology
Submission Closed