DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices

DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices

We describe a simulation-based Design Space Exploration procedure (DynDSE) for wearable IoT edge devices that retrieve events from streaming sensor data using context-adaptive pattern recognition algorithms. We provide a formal characterisation of the design space, given a set of system functionalit...

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Bibliographic Details
Main Authors: Giovanni Schiboni, Juan Carlos Suarez, Rui Zhang, Oliver Amft
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
health monitoring
automatic dietary monitoring
physiological sensing
pattern spotting
energy saving
embedded machine learning
Online Access:https://www.mdpi.com/1424-8220/20/21/6104

Internet

https://www.mdpi.com/1424-8220/20/21/6104

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