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.
Original language | English |
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Title of host publication | Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 102-107 |
Number of pages | 6 |
ISBN (Electronic) | 9783981926323 |
DOIs | |
Publication status | Published - 14 May 2019 |
Event | 22nd Design, Automation and Test in Europe Conference and Exhibition (DATE 2019) - Florence, Italy, Florence, Italy Duration: 25 Mar 2019 → 29 Mar 2019 Conference number: 22 |
Conference
Conference | 22nd Design, Automation and Test in Europe Conference and Exhibition (DATE 2019) |
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Abbreviated title | DATE 2019 |
Country/Territory | Italy |
City | Florence |
Period | 25/03/19 → 29/03/19 |
Keywords
- Approximate Computing
- Clear Channel Assessment
- Digital Baseband