Name
Title | ||
|---|---|---|
Trading Digital Accuracy for Power in an RSSI Computation of a Sensor Network Transceiver |
Abstract | ||
|---|---|---|
To handle the rigid power and energy constraints in the Digital BaseBand (DBB) of Wireless Sensor Networks (WSN)s, we introduce approximate computing as a new power reduction method. The Received Signal Strength Indicator (RSSI) computation is a key element in DBB processing. We evaluate the trade-off in RSSI computation between Quality-of-Service (QoS) and power consumption through circuit-level approximation. RSSI elements are approximated in such a way that error propagation is minimized. In an industrial 40-nm CMOS technology, substantial energy savings up to 24% are achieved for every successfully transferred bit in DBB processing in a low- power listening WSN scenario. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.23919/DATE.2019.8715146 | 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
Keywords | Field | DocType |
Digital Baseband,Approximate Computing,Clear Channel Assessment | Baseband,Propagation of uncertainty,Transceiver,Computer science,Quality of service,Real-time computing,CMOS,Electronic engineering,Wireless sensor network,Approximate computing,Computation | Conference |
ISSN | ISBN | Citations |
1530-1591 | 978-1-7281-0331-0 | 0 |
PageRank | References | Authors |
0.34 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Detterer | 1 | 1 | 0.73 |
| Cumhur Erdin | 2 | 1 | 0.73 |
| Majid Nabi | 3 | 66 | 11.65 |
| Jose Pineda de Gyvez | 4 | 99 | 14.24 |
| Twan Basten | 5 | 1833 | 132.45 |
| Jiao Hailong | 6 | 0 | 5.75 |