University of Oulu

M. Hatami, M. Leinonen, Z. Chen, N. Pappas and M. Codreanu, "Asymptotically Optimal On-Demand AoI Minimization in Energy Harvesting IoT Networks," 2022 IEEE International Symposium on Information Theory (ISIT), 2022, pp. 922-927, doi: 10.1109/ISIT50566.2022.9834773.

Asymptotically optimal on-demand AoI minimization in energy harvesting IoT networks

Saved in:
Author: Hatami, Mohammad1; Leinonen, Markus1; Chen, Zheng2;
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, 0.4 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-10-11


We consider a resource-constrained IoT network, where users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, each monitored by an energy harvesting sensor. The edge node serves users’ requests by either commanding the corresponding sensor to send a fresh status update or retrieving the most recently received measurement from the cache. We aim to find a control policy at the edge node to minimize the average age of information (AoI) of the received measurements upon requests, i.e., average on-demand AoI, subject to per-slot transmission and energy constraints. We develop a low-complexity algorithm — termed relax-then-truncate — and prove that it is asymptotically optimal as the number of sensors goes to infinity. Numerical results assess the performance of the proposed method.

see all

Series: IEEE International Symposium on Information Theory proceedings
ISSN: 2157-8095
ISSN-E: 2157-8117
ISSN-L: 2157-8095
ISBN: 978-1-6654-2159-1
ISBN Print: 978-1-6654-2160-7
Pages: 922 - 927
DOI: 10.1109/isit50566.2022.9834773
Host publication: 2022 IEEE international symposium on information theory (ISIT)
Conference: IEEE International Symposium on Information Theory
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). The work of N. Pappas and Z. Chen have been supported in part by the Swedish Research Council (VR), ELLIIT, and CENIIT. Z. Chen would like to acknowledge the support of Knut and Alice Wallenberg (KAW) Foundation.
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)
Copyright information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”