Adaptive sensing scheduling for energy harvesting sensors with finite battery

Jing Yang, Xianwen Wu, Jingxian Wu

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

11 Citations (Scopus)

Abstract

In this paper, we study the optimal sensing scheduling policy for an energy harvesting sensing system equipped with a finite battery. The objective is to strategically select the sensing epochs such that the long-term average sensing performance is optimized. In the sensing system, it is assumed that the sensing performance depends on the time duration between two consecutive sensing epochs. Example applications include reconstructing a wide-sense stationary random process by using discrete-time samples collected by a sensor. The randomness of the energy harvesting process and the finite battery constraint at the sensor make the optimal sensing scheduling very challenging. Assuming the energy harvesting process is a Poisson random process, we first identify a performance limit on the long-term average sensing performance of the system without the finite battery constraint. We then propose an energy-aware adaptive sensing scheduling policy, which dynamically chooses the next sensing epoch based on the battery level at the current sensing epoch. We show that as the battery size increases, the sensing performance under the adaptive sensing policy asymptotically converges to the performance limit of the system with an infinite battery, thus it is asymptotically optimal. The convergence rate is also analytically characterized.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-103
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - Sep 9 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: Jun 8 2015Jun 12 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period6/8/156/12/15

Fingerprint

Energy harvesting
Scheduling
Random processes
Sensors

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Yang, J., Wu, X., & Wu, J. (2015). Adaptive sensing scheduling for energy harvesting sensors with finite battery. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 98-103). [7248305] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248305
Yang, Jing ; Wu, Xianwen ; Wu, Jingxian. / Adaptive sensing scheduling for energy harvesting sensors with finite battery. 2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 98-103 (IEEE International Conference on Communications).
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Yang, J, Wu, X & Wu, J 2015, Adaptive sensing scheduling for energy harvesting sensors with finite battery. in 2015 IEEE International Conference on Communications, ICC 2015., 7248305, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 98-103, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7248305

Adaptive sensing scheduling for energy harvesting sensors with finite battery. / Yang, Jing; Wu, Xianwen; Wu, Jingxian.

2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 98-103 7248305 (IEEE International Conference on Communications; Vol. 2015-September).

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

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Yang J, Wu X, Wu J. Adaptive sensing scheduling for energy harvesting sensors with finite battery. In 2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 98-103. 7248305. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2015.7248305