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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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.

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
StatePublished - 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

Fingerprint

Received Signal Strength
Digital signal processing
Transceivers
Sensor networks
Sensor Networks
Wireless sensor networks
Wireless Sensor Networks
Power Method
Energy conservation
Quality of service
Electric power utilization
Error Propagation
Energy Saving
Reduction Method
Power Consumption
Quality of Service
Networks (circuits)
Trade-offs
Scenarios
Computing

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. DOI: 10.23919/DATE.2019.8715146
Detterer, Paul ; Erdin, Cumhur ; Nabi, Majid ; de Gyvez, José Pineda ; Basten, Twan ; Jiao, Hailong. / Trading digital accuracy for power in an RSSI computation of a Sensor Network Transceiver. Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 102-107
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Detterer, P, Erdin, C, Nabi, M, de Gyvez, JP, 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., 8715146, Institute of Electrical and Electronics Engineers, Piscataway, pp. 102-107, 22nd Design, Automation and Test in Europe Conference and Exhibition, (DATE2019), Florence, Italy, 25/03/19. DOI: 10.23919/DATE.2019.8715146

Trading digital accuracy for power in an RSSI computation of a Sensor Network Transceiver. / Detterer, Paul; Erdin, Cumhur; Nabi, Majid; de Gyvez, José Pineda; Basten, Twan; Jiao, Hailong.

Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. p. 102-107 8715146.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Detterer P, Erdin C, Nabi M, de Gyvez JP, Basten T, Jiao H. 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. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 102-107. 8715146. Available from, DOI: 10.23919/DATE.2019.8715146