Name
Abstract | ||
|---|---|---|
Sensing platforms are becoming batteryless to enable the vision of the Internet of Things, where trillions of devices collect data, interact with each other, and interact with people. However, these batteryless sensing platforms—that rely purely on energy harvesting—are rarely able to maintain a sense of time after a power failure. This makes working with sensor data that is time sensitive especially difficult. We propose two novel, zero-power timekeepers that use remanence decay to measure the time elapsed between power failures. Our approaches compute the elapsed time from the amount of decay of a capacitive device, either on-chip Static Random-Access Memory (SRAM) or a dedicated capacitor. This enables hourglass-like timers that give intermittently powered sensing devices a persistent sense of time. Our evaluation shows that applications using either timekeeper can keep time accurately through power failures as long as 45s with low overhead. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2903140 | ACM Trans. Embedded Comput. Syst. |
Keywords | Field | DocType |
Remanence timekeepers,batteryless,CRFID,SRAM,clocks,RTC | Capacitor,Computer science,Internet of Things,Time sensitive,Real-time computing,Capacitive sensing,Static random-access memory,Timekeeper,Embedded system | Journal |
Volume | Issue | ISSN |
15 | 4 | 1539-9087 |
Citations | PageRank | References |
7 | 0.46 | 28 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Josiah D. Hester | 1 | 138 | 18.13 |
| Nicole Tobias | 2 | 9 | 1.50 |
| Amir Rahmati | 3 | 7 | 0.46 |
| Lanny Sitanayah | 4 | 100 | 9.10 |
| Daniel E. Holcomb | 5 | 462 | 31.63 |
| Kevin Fu | 6 | 2281 | 167.38 |
| W. Burleson | 7 | 2190 | 208.72 |
| Jacob Sorber | 8 | 40 | 3.88 |