Optimal status updating to minimize age of information with an energy harvesting source

Xianwen Wu, Jing Yang, Jingxian Wu

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

8 Citations (Scopus)

Abstract

In this paper, we consider a scenario where an energy harvesting sensor continuously monitors a system and sends time-stamped status updates to a destination. The destination keeps track of the system status through the received updates. We use the metric Age of Information (AoI), the time that has elapsed since the last received update was generated, to measure the 'freshness' of the status information available at the destination. We assume energy arrives randomly at the sensor according to a Poisson process, and each status update consumes one unit of energy. Our objective is to design optimal online status update policies to minimize the long-term average Aol, subject to the energy causality constraint at the sensor. We consider three scenarios, i.e., the battery size is infinite, finite, and one unit only, respectively. For the infinite battery scenario, we adopt a best-effort uniform status update policy and and show that it minimizes the long-term average AoI. For the finite battery scenario, we adopt an energy-aware adaptive status update policy, and prove that it is asymptotically optimal when the battery size goes to infinity. For the last scenario where the battery size is one, we propose a threshold based status update policy. We analytically characterize the long-term average AoI under this policy, and prove it is optimal. Simulation results corroborate the theoretical bounds.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
StatePublished - Jul 28 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Other

Other2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period5/21/175/25/17

Fingerprint

Energy harvesting
Sensors

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Wu, X., Yang, J., & Wu, J. (2017). Optimal status updating to minimize age of information with an energy harvesting source. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 [7996423] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996423
Wu, Xianwen ; Yang, Jing ; Wu, Jingxian. / Optimal status updating to minimize age of information with an energy harvesting source. 2017 IEEE International Conference on Communications, ICC 2017. editor / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017.
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Wu, X, Yang, J & Wu, J 2017, Optimal status updating to minimize age of information with an energy harvesting source. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996423, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 5/21/17. https://doi.org/10.1109/ICC.2017.7996423

Optimal status updating to minimize age of information with an energy harvesting source. / Wu, Xianwen; Yang, Jing; Wu, Jingxian.

2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7996423.

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

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AB - In this paper, we consider a scenario where an energy harvesting sensor continuously monitors a system and sends time-stamped status updates to a destination. The destination keeps track of the system status through the received updates. We use the metric Age of Information (AoI), the time that has elapsed since the last received update was generated, to measure the 'freshness' of the status information available at the destination. We assume energy arrives randomly at the sensor according to a Poisson process, and each status update consumes one unit of energy. Our objective is to design optimal online status update policies to minimize the long-term average Aol, subject to the energy causality constraint at the sensor. We consider three scenarios, i.e., the battery size is infinite, finite, and one unit only, respectively. For the infinite battery scenario, we adopt a best-effort uniform status update policy and and show that it minimizes the long-term average AoI. For the finite battery scenario, we adopt an energy-aware adaptive status update policy, and prove that it is asymptotically optimal when the battery size goes to infinity. For the last scenario where the battery size is one, we propose a threshold based status update policy. We analytically characterize the long-term average AoI under this policy, and prove it is optimal. Simulation results corroborate the theoretical bounds.

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Wu X, Yang J, Wu J. Optimal status updating to minimize age of information with an energy harvesting source. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996423 https://doi.org/10.1109/ICC.2017.7996423