MER-WearNet: Medical-Emergency Response Wearable Networking Powered by UAV-Assisted Computing Offloading and WPT

Abstract

The global outbreak of the 2019-nCoV pneumonia has led to illness and loss of life for a large number of people. Many countries built medical-emergency facilities in remote areas to isolate infected people in an attempt to contain the spread of the virus. Various wearable devices based on smart new fabrics can collect life-relevant data from patients on a continuous basis. However, the computing capacity and battery energy of wearable devices are limited. Prolonging the life cycle of the wearable medical-emergency system for as long as possible, while guaranteeing the effectiveness of the monitoring tasks for the users, is a great challenge. Therefore, Medical-Emergency Response Wearable Networking Powered by UAV-assisted (unmanned aerial vehicle) computing offloading and wireless power transfer (WPT), known as MER-WearNet, is presented in this paper. Due to the ultra-low delay demand in the medical emergency scenario, the proposed scheme uses UAV to charge the wearable devices wirelessly, so that the wearable devices can obtain more energy and ensure the efficient completion of the computing offloading in the shortest possible time. The successive convex optimization (SCP) is used to solve the joint optimization model. Finally, simulation experiments verify the effectiveness of the proposed scheme.