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Asymptotically optimal on-demand AoI minimization in energy harvesting IoT networks |
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| 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: | http://urn.fi/urn:nbn:fi-fe2022101161550 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2022
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| Publish Date: | 2022-10-11 |
| Description: |
AbstractWe 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
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| 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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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 346208 340171 |
| Detailed Information: |
323698 (Academy of Finland Funding decision) 346208 (Academy of Finland Funding decision) 340171 (Academy of Finland Funding decision) |
| Copyright information: |
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