University of Oulu

M. Hatami, M. Leinonen and M. Codreanu, "Status Updating with an Energy Harvesting Sensor under Partial Battery Knowledge," 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022, pp. 1-5, doi: 10.1109/SPAWC51304.2022.9833986.

Status updating with an energy harvesting sensor under partial battery knowledge

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Author: Hatami, Mohammad1; Leinonen, Markus1; Codreanu, Marian2
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Department of Science and Technology, Linköping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-10-11


We consider status updating under inexact knowledge of the battery level of an energy harvesting (EH) sensor that sends status updates about a random process to users via a cache-enabled edge node. More precisely, the control decisions are performed by relying only on the battery level knowledge captured from the last received status update packet. Upon receiving on-demand requests for fresh information from the users, the edge node uses the available information to decide whether to command the sensor to send a status update or to retrieve the most recently received measurement from the cache. We seek for the best actions of the edge node to minimize the average AoI of the served measurements, i.e., average on-demand AoI. Accounting for the partial battery knowledge, we model the problem as a partially observable Markov decision process (POMDP), and, through characterizing its key structures, develop a dynamic programming algorithm to obtain an optimal policy. Simulation results illustrate the threshold-based structure of an optimal policy and show the gains obtained by the proposed optimal POMDP-based policy compared to a request-aware greedy (myopic) policy.

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Series: IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN: 2325-3789
ISSN-L: 2325-3789
ISBN: 978-1-6654-9455-7
ISBN Print: 978-1-6654-9456-4
DOI: 10.1109/spawc51304.2022.9833986
Host publication: 2022 IEEE 23rd international workshop on signal processing advances in wireless communication (SPAWC), 04-06 July 2022, Oulu, Finland
Conference: IEEE International Workshop on Signal Processing Advances in Wireless Communication
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6G Flagship program (grant 346208). M. Hatami would like to acknowledge the support of Nokia Foundation. The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 340171).
Academy of Finland Grant Number: 323698
Detailed Information: 323698 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
340171 (Academy of Finland Funding decision)
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