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SIDEWINDER:Efficient and Easy-to-Use Continuous Sensing
| Content Provider | ACM Digital Library |
|---|---|
| Author | Goel, Ashvin Jingoi, Silviu To, Wilson Liaqat, Daniyal |
| Abstract | 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. |
| Starting Page | 34 |
| Ending Page | 37 |
| Page Count | 4 |
| File Format | |
| ISSN | 23750529 23750537 |
| DOI | 10.1145/3036699.3036710 |
| Journal | GetMobile: Mobile Computing and Communications (GETMBL) |
| Volume Number | 20 |
| Issue Number | 3 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-31 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
