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Titre: A colored petri net to model message differences in energy harvesting WSNs
Auteur(s): Oukas, Nourredine
Boulif, Menouar
Mots-clés: Wireless sensor network
Coloured generalized stochastic petri nets
Energy harvesting
Energy quantization
Date de publication: 2021
Editeur: Springer
Collection/Numéro: Lecture Notes in Networks and Systems/ Vol.199 LNNS (2021);pp. 143-152
Résumé: This paper proposes a modelling for Energy Harvesting Wireless Sensor Networks (EHWSNs) by using Coloured Generalized Stochastic Petri Nets (CGSPN). Given that the transmission process consumes the most part of the energy, we consider it in more detail. Therefore, in contrast to the related works in the literature, the proposed formulation differentiates between messages since energy consumption can significantly differ according to the type of information to send. Furthermore, in order to get a more realistic model, we also consider that the sensor has a limited buffer capacity. We conduct some experiments by feeding the model with varying input parameters to show that it can predict the actual behaviour of the network
URI/URL: https://link.springer.com/chapter/10.1007/978-3-030-69418-0_13
DOI 10.1007/978-3-030-69418-0_13
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6984
ISBN: 978-303069417-3
ISSN: 23673370
Collection(s) :Communications Internationales

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