Trading digital accuracy for power in an RSSI computation of a Sensor Network Transceiver

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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 languageEnglish
Title of host publicationProceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
Place of Publication Piscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages102-107
Number of pages6
ISBN (Electronic)9783981926323
DOIs
Publication statusPublished - 14 May 2019
Event22nd Design, Automation and Test in Europe Conference and Exhibition, (DATE2019) - Florence, Italy
Duration: 25 Mar 201929 Mar 2019

Conference

Conference22nd Design, Automation and Test in Europe Conference and Exhibition, (DATE2019)
Abbreviated titleDATE2019
CountryItaly
CityFlorence
Period25/03/1929/03/19

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Keywords

  • Approximate Computing
  • Clear Channel Assessment
  • Digital Baseband

Cite this

Detterer, P., Erdin, C., Nabi, M., de Gyvez, J. P., Basten, T., & Jiao, H. (2019). Trading digital accuracy for power in an RSSI computation of a Sensor Network Transceiver. In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 (pp. 102-107). [8715146] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/DATE.2019.8715146