  Fog computing offers a scalable and effective solution to overcome the
increasing processing and networking demands of Internet of Thing (IoT)
devices. In this paper, we investigate the use of fog computing for health
monitoring applications. We consider a heart monitoring application where
patients send their 30 minute recording of Electrocardiogram (ECG) signal for
processing, analysis, and decision making at fog processing units within the
time constraint recommended by the American Heart Association (AHA) to save
heart patients when an abnormality in the ECG signal is detected. The locations
of the processing servers are optimized so that the energy consumption of both
the processing and networking equipment are minimised. The results show that
processing the ECG signal at fog processing units yields a total energy
consumption saving of up to 68% compared to processing the at the central
cloud.
