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Status Update Scheduling in Remote Sensing Under Variable Activation Delay

Badia, Leonardo and Munari, Andrea (2023) Status Update Scheduling in Remote Sensing Under Variable Activation Delay. IEEE Balkancom, Istanbul, Turkey.

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Sensor data exchanges in IoT applications can experience a variable delay due to changes in the communication environment and sharing of processing capabilities. This variability can impact the performance and effectiveness of the systems being controlled, and is especially reflected on age of information (AoI), a performance metric that quantifies the freshness of updates in remote sensing. In this paper, we discuss the quantitative impact of a variable activation delay on AoI. We consider an offline scheduling over a finite horizon, and we show the main role of the first and second order moments of the activation delay. Our analysis gives a quantitative boundary on when such term can be neglected and also prompts possible further investigations that can be used to mitigate the increase of AoI and improve the overall performance.

Item URL in elib:https://elib.dlr.de/196623/
Document Type:Conference or Workshop Item (Lecture)
Title:Status Update Scheduling in Remote Sensing Under Variable Activation Delay
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Badia, LeonardoUniversity of PadovaUNSPECIFIEDUNSPECIFIED
Munari, AndreaUNSPECIFIEDhttps://orcid.org/0000-0003-1506-2792UNSPECIFIED
Date:June 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Age of information; Delay effects; Optimal scheduling; Single machine scheduling
Event Title:IEEE Balkancom
Event Location:Istanbul, Turkey
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - Global Connectivity for People and Machines
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Satellite Networks
Deposited By: Munari, Dr. Andrea
Deposited On:21 Aug 2023 15:33
Last Modified:21 Aug 2023 15:33

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