SIDEWINDER: Efficient and Easy-to-Use Continuous Sensing

Daniyal Liaqat, Silviu Jingoi, Wilson To, Ashvin Goel, Eyal de Lara

GetMobile: Mobile Computing and Communications, vol. 20, no. 3, ACM, July 2016



Applications that perform continuous sensing on mobile phones have the potential to revolutionize everyday life. Examples range from medical and health monitoring applications, such as pedometers and fall detectors, to participatory sensing applications, such as noise pollution, traffic and seismic activity monitoring. Unfortunately, current mobile devices are a poor match for continuous sensing applications as they require the device to remain awake for extended periods of time, resulting in poor battery life. We present Sidewinder, a new approach toward offloading sensor data processing to a lowpower processor and waking up the main processor when events of interest occur. Sidewinder differs from other heterogeneous architectures in that developers are presented with a programming interface that lets them construct custom wake-up conditions by linking together and parameterizing predefined sensor data processing algorithms. Sidewinder's wake-up conditions achieve energy efficiency matching fully programmable offloading, but do so with a much simpler programming interface that facilitates deployment and portability.