Cheap noisy sensors can improve activity monitoring under stringent energy constraints

David Jun, Long Le, Douglas L Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a low-power acoustic sensor built using off-the-shelf components. To reduce energy consumption, the ADC and the microphone's signal-conditioning circuit are replaced by a low-power analog comparator with adjustable thresholds. Although the SNR of the proposed sensor is reduced, we demonstrate how recent advancements in adaptive sensor scheduling can utilize this sensing modality at the right times to deliver high estimation performance in the presence of extremely stringent device-energy constraints. In a long-term acoustic wildlife monitoring application, energy consumption is reduced by a factor of up to 15× over the scheduling policy that does not utilize the proposed sensor. Furthermore, when device energy is extremely scarce, optimal sensor management can reduce error rate from nearly 40% to 8%.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages683-686
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

Fingerprint

Monitoring
Sensors
Energy utilization
Acoustics
Signal conditioning circuits
Scheduling
Microphones

Keywords

  • Activity monitoring
  • Energy constraints
  • Resource allocation
  • Sensor management

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Cite this

Jun, D., Le, L., & Jones, D. L. (2013). Cheap noisy sensors can improve activity monitoring under stringent energy constraints. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 683-686). [6736983] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736983

Cheap noisy sensors can improve activity monitoring under stringent energy constraints. / Jun, David; Le, Long; Jones, Douglas L.

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. 2013. p. 683-686 6736983 (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jun, D, Le, L & Jones, DL 2013, Cheap noisy sensors can improve activity monitoring under stringent energy constraints. in 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings., 6736983, 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, pp. 683-686, 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013, Austin, TX, United States, 12/3/13. https://doi.org/10.1109/GlobalSIP.2013.6736983
Jun D, Le L, Jones DL. Cheap noisy sensors can improve activity monitoring under stringent energy constraints. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. 2013. p. 683-686. 6736983. (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736983
Jun, David ; Le, Long ; Jones, Douglas L. / Cheap noisy sensors can improve activity monitoring under stringent energy constraints. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings. 2013. pp. 683-686 (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings).
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