No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

• Published in: IEEE access Vol. 8; pp. 201498 - 201515
• Main Authors: Kang, James Jin, Yang, Wencheng, Dermody, Gordana, Ghasemian, Mohammadreza, Adibi, Sasan, Haskell-Dowland, Paul
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Actuation; Ad hoc networks; Batteries; Biometrics; Body area networks; Data integration; Data reduction; Electronic devices; emergency alarm notification; Emergency equipment; Inference; Inference algorithms; low power wide area network (LPWAN); Military applications; Military communications; military mobile (health) network; Military personnel; mobile health (mHealth); Monolayers; Multilayer inference algorithm (MIA); multilayer inference system (MIS); Multilayers; Nonhomogeneous media; Personnel; Power consumption; Power management; Sensors; Size reduction; Systems design; Wide area networks; wireless body area network (WBAN); Wireless communication; Wireless networks; Wireless sensor networks

There has been an increasing prevalence of ad-hoc networks for various purposes and applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN) which have emerging applications in health monitoring as well as user location tracking in emergency settings. F...