Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard Cloud-based approaches to reduce the huge amount of data coming from IoT devices toward the Internet. In this direction, the paper proposes BodyEdge, a novel architecture well suited for medical applications in the context of the emerging healthcare industry. The advantages of the designed software platform have been evaluated in terms of reduced bandwidth and processing time through a real testbed on different hardware platforms. The conducted study also discovered the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.

Edge computing-enabled body area networks

Aloi, Gianluca;Fortino, Giancarlo;Gravina, Raffaele;Pace, Pasquale;Caliciuri, Giuseppe
2018

Abstract

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard Cloud-based approaches to reduce the huge amount of data coming from IoT devices toward the Internet. In this direction, the paper proposes BodyEdge, a novel architecture well suited for medical applications in the context of the emerging healthcare industry. The advantages of the designed software platform have been evaluated in terms of reduced bandwidth and processing time through a real testbed on different hardware platforms. The conducted study also discovered the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.
9781538653944
Body sensor networks; Cloud computing; Edge computing; Heart rate variability; Internet of things; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Hardware and Architecture; Information Systems and Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/288225
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