This paper investigates data correlation in remote sensing networks and how it can be characterized through diverse models quantifying the Value of Information (VoI), a metric that describes how informative the data transmitted by the sensors are. For each sensor, the VoI evaluations comprise the average node-specific Age of Information (AoI), the average cost spent for sending updates, and the AoI of neighbor nodes, assumed to be correlated sources of information and therefore benefiting the VoI of other sensors nearby. We discuss how this metric can be tracked through a two-dimensional Markov chain, but we also show how this representation can be simplified by including the impact of neighbor nodes within the transition probabilities, so as to obtain a simpler model that gives the same insight in terms of VoI evaluations.

Zancanaro, A., Cisotto, G., Badia, L. (2023). Modeling Value of Information in remote sensing from correlated sources. COMPUTER COMMUNICATIONS, 203(1 April 2023), 289-297 [10.1016/j.comcom.2023.03.008].

Modeling Value of Information in remote sensing from correlated sources

Cisotto G.;
2023

Abstract

This paper investigates data correlation in remote sensing networks and how it can be characterized through diverse models quantifying the Value of Information (VoI), a metric that describes how informative the data transmitted by the sensors are. For each sensor, the VoI evaluations comprise the average node-specific Age of Information (AoI), the average cost spent for sending updates, and the AoI of neighbor nodes, assumed to be correlated sources of information and therefore benefiting the VoI of other sensors nearby. We discuss how this metric can be tracked through a two-dimensional Markov chain, but we also show how this representation can be simplified by including the impact of neighbor nodes within the transition probabilities, so as to obtain a simpler model that gives the same insight in terms of VoI evaluations.
Articolo in rivista - Articolo scientifico
Age of Information; Data acquisition; Internet of Things; Markov chains; Value of Information;
English
13-mar-2023
2023
203
1 April 2023
289
297
reserved
Zancanaro, A., Cisotto, G., Badia, L. (2023). Modeling Value of Information in remote sensing from correlated sources. COMPUTER COMMUNICATIONS, 203(1 April 2023), 289-297 [10.1016/j.comcom.2023.03.008].
File in questo prodotto:
File Dimensione Formato  
Zancanaro-2023-Com Com-VoR.pdf

Solo gestori archivio

Descrizione: Research Article
Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Tutti i diritti riservati
Dimensione 787.42 kB
Formato Adobe PDF
787.42 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/417257
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
Social impact