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Titre: Generalized stochastic petri nets modelling for energy harvesting WSNs considering neighbors with different vicinity levels
Auteur(s): Oukas, Nourredine
Boulif, Menouar
Mots-clés: Wireless sensor network
GSPN
Energy harvesting
Energy consumption
Retrial call
Sensor vacation
Date de publication: 2020
Editeur: IEEE
Collection/Numéro: 2020 International Conference on Computing and Information Technology (ICCIT-1441)/ Vol.01, N° ICCIT- 1441;pp. 92-96
Résumé: In this paper, we use Generalized Stochastic PetriNets (GSPN) formalism to model the communication betweenan SN and its neighbors in wireless sensor networks (WSN).This modelling considers several actual considerations such assensor vacations and retrial calls phenomenon. Furthermore,given that sensor nodes (SN) consume almost all their energy inthe transmission process that varies according to the distanceof the neighbors, our model considers different levels of vicinityfor communicating neighbors. Our study proves that ourmodelling, which provides a more realistic approach todescribe the actual behavior of the WSN, can identify the inputparameter scenario to have a network with a good compromisebetween longevity and performance
URI/URL: https://ieeexplore.ieee.org/document/9213781
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6246
Collection(s) :Communications Internationales

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