Name
Abstract | ||
|---|---|---|
Emerging applications for Internet of Things (IoT) devices demand smaller mass, size, and cost whilst increasing capability and reliability. Energy harvesting can provide power to these ultra-constrained devices, but introduces unreliability, unpredictability, and intermittency. Schemes for wireless sensors without batteries or supercapacitors overcome intermittency through saving system state into nonvolatile memory before the supply drops below the minimum operating voltage, termed transient, or intermittent computing. However, this introduces significant time and energy overheads. This article presents two schemes that significantly reduce these overheads: entering a sleep mode to avoid saving state and utilizing direct memory access (DMA) when state saves are required. Time and energy previously wasted on state saves can instead be used to perform useful computation, termed “forward progress.” We practically validate the proposed approaches across a range of energy sources and IoT benchmarks and demonstrate up to 46.8% and 40.3% increase in forward progress and up to 91.1% and 85.6% reduction in overheads for each scheme, respectively. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCAD.2020.2999913 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Embedded systems,energy harvesting (EH),low-power design,transient computing,intermittent computing | Journal | 40 |
Issue | ISSN | Citations |
3 | 0278-0070 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Daulby | 1 | 0 | 0.34 |
| Anand Savanth | 2 | 26 | 5.73 |
| geoffrey merrett | 3 | 411 | 49.30 |
| Alex S. Weddell | 4 | 225 | 25.00 |