Fog Computing

9Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control

Delaram Amiri¹, Arman Anzanpour², Iman Azimi², Amir M. Rahmani⁴, Pasi Liljeberg², Nikil Dutt³, and Marco Levorato³

¹Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA

²Department of Future Technologies, University of Turku, Turku, Finland

³Department of Computer Science, University of California Irvine, Irvine, CA, USA

⁴School of Nursing, University of California Irvine, Irvine, CA, USA

9.1 Introduction

Continuous clinical-level monitoring of patients conditions is imperative in an ample range of medical applications. For instance, monitoring post-operative patients to detect early signs of health deterioration can significantly improve care outcomes. Current technologies can only provide clinical-level monitoring in hospital settings, where the patient is in a controlled environment and traditional sensors can be used. However, once discharged, patients are left in a vulnerable position. Achieving clinical-level monitoring in everyday settings would have a tremendous impact on patients health, but is a technological challenge that has not been solved yet.

Internet of Things (IoT) technologies have been recently widely used to build systems capable of continuously monitoring subjects, acquiring a variety of biosignals [1–3]. The healthcare IoT paradigm proves a way to ubiquitous and personalized monitoring of individual's conditions in everyday ...