University of Oulu

N. Pappas, Z. Chen and M. Hatami, "Average AoI of Cached Status Updates for a Process Monitored by an Energy Harvesting Sensor," 2020 54th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2020, pp. 1-5, doi: 10.1109/CISS48834.2020.1570629110

Average AoI of cached status updates for a process monitored by an energy harvesting sensor

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Author: Pappas, Nikolaos1; Chen, Zheng2; Hatami, Mohammad3
Organizations: 1Dept. of Science and Technology, Linköping University, Norrköping Campus, Sweden
2Dept. of Electrical Engineering, Linköping University, Linköping, Sweden
3Center for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-06-12


In this work, we consider a system where external requests arrive for status updates of a remote source, which is monitored by an energy harvesting (EH) sensor. The requests are placed in an aggregator that has direct communication with the sensor and is also equipped with storage space to cache a previously generated status update. A probabilistic model is considered to determine whether a new request will be served with a fresh update from the EH sensor or with a cached update from the aggregator. In the first case, the fresh update will replace the cached one in the aggregator. Assuming that the energy arrivals at the sensor can be modeled by a Bernoulli process, we characterize the average Age of Information (AoI) of the source seen at the aggregator as a function of the external request probability, the battery charging probability, and the probability that a fresh update will be generated by the EH sensor. Our numerical results reveal some insights about the role of caching in EH-based status updating systems.

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ISBN: 978-1-7281-4085-8
ISBN Print: 978-1-7281-8831-7
Pages: 1 - 5
DOI: 10.1109/CISS48834.2020.1570629110
Host publication: 2020 54th Annual Conference on Information Sciences and Systems (CISS)
Conference: Annual Conference on Information Sciences and Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Center for Industrial Information Technology (CENIIT), ELLIIT, the Swedish Foundation for Strategic Research, and the Swedish Research Council (VR). The reserach of Mr. Hatami has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6Genesis Flagship (grant 318927). The authors would like to thank Prof. Marian Codreanu for the fruitful discussions.
Academy of Finland Grant Number: 323698
Detailed Information: 323698 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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