Understanding the impact of circuit-level inaccuracy on sensor network performance

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

1 Citation (Scopus)

Abstract

Energy efficiency is of paramount importance in designing low-power wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks (WSNs) has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements.

LanguageEnglish
Title of host publicationPE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages107-114
Number of pages8
ISBN (Electronic)9781450359610
DOIs
StatePublished - 25 Oct 2018
Event15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2018 - Montreal, Canada
Duration: 28 Oct 20182 Nov 2018

Conference

Conference15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2018
CountryCanada
CityMontreal
Period28/10/182/11/18

Fingerprint

Network performance
Sensor networks
Networks (circuits)
Wireless sensor networks
Sensor nodes
Energy efficiency
Electric power utilization
Energy utilization

Keywords

  • Approximate computing
  • QoS provisioning in wireless and mobile networks
  • Sensor and actuator networks

Cite this

Detterer, P., Erdin, C., Nabi, M., Basten, T., & Jiao, H. (2018). Understanding the impact of circuit-level inaccuracy on sensor network performance. In PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (pp. 107-114). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3243046.3243062
Detterer, Paul ; Erdin, Cumhur ; Nabi, Majid ; Basten, Twan ; Jiao, Hailong. / Understanding the impact of circuit-level inaccuracy on sensor network performance. PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. New York : Association for Computing Machinery, Inc, 2018. pp. 107-114
@inproceedings{90f18b1b16bc4171a85ecb4bdb4943cb,
title = "Understanding the impact of circuit-level inaccuracy on sensor network performance",
abstract = "Energy efficiency is of paramount importance in designing low-power wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks (WSNs) has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements.",
keywords = "Approximate computing, QoS provisioning in wireless and mobile networks, Sensor and actuator networks",
author = "Paul Detterer and Cumhur Erdin and Majid Nabi and Twan Basten and Hailong Jiao",
year = "2018",
month = "10",
day = "25",
doi = "10.1145/3243046.3243062",
language = "English",
pages = "107--114",
booktitle = "PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks",
publisher = "Association for Computing Machinery, Inc",
address = "United States",

}

Detterer, P, Erdin, C, Nabi, M, Basten, T & Jiao, H 2018, Understanding the impact of circuit-level inaccuracy on sensor network performance. in PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. Association for Computing Machinery, Inc, New York, pp. 107-114, 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2018, Montreal, Canada, 28/10/18. DOI: 10.1145/3243046.3243062

Understanding the impact of circuit-level inaccuracy on sensor network performance. / Detterer, Paul; Erdin, Cumhur; Nabi, Majid; Basten, Twan; Jiao, Hailong.

PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. New York : Association for Computing Machinery, Inc, 2018. p. 107-114.

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

TY - GEN

T1 - Understanding the impact of circuit-level inaccuracy on sensor network performance

AU - Detterer,Paul

AU - Erdin,Cumhur

AU - Nabi,Majid

AU - Basten,Twan

AU - Jiao,Hailong

PY - 2018/10/25

Y1 - 2018/10/25

N2 - Energy efficiency is of paramount importance in designing low-power wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks (WSNs) has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements.

AB - Energy efficiency is of paramount importance in designing low-power wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks (WSNs) has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements.

KW - Approximate computing

KW - QoS provisioning in wireless and mobile networks

KW - Sensor and actuator networks

UR - http://www.scopus.com/inward/record.url?scp=85058225486&partnerID=8YFLogxK

U2 - 10.1145/3243046.3243062

DO - 10.1145/3243046.3243062

M3 - Conference contribution

SP - 107

EP - 114

BT - PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

PB - Association for Computing Machinery, Inc

CY - New York

ER -

Detterer P, Erdin C, Nabi M, Basten T, Jiao H. Understanding the impact of circuit-level inaccuracy on sensor network performance. In PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. New York: Association for Computing Machinery, Inc. 2018. p. 107-114. Available from, DOI: 10.1145/3243046.3243062