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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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