Oukas, NourredineBoulif, MenouarHadiouche, HaddaBengharabi, Chaima2022-03-132022-03-132022978-1-6654-3605-210.1109/ICCIT52419.2022.9711606https://dspace.univ-boumerdes.dz/handle/123456789/7697This paper introduces a new Generalized Stochastic Petri Nets modelling for sensor nodes (SNs) in wireless sensor networks (WSNs). All SNs are equipped with a solar Energy Harvesting (EH) system. Because there is no solar energy source at night, this formulation considers the case where SNs are intelligently configured to use a double sleeping strategy to get a trade-off between energy conservation and good performances. To achieve this aim, the SN joins the standby state most of the time in the night. In the day, the SN awakes most of the time to get good performances thanks to EH. From the proposed modelling, we derive performance formulas that allow determining the most suitable compromise between energy consumption reduction and rapidity of serviceenWireless sensor networksStochastic petri netssolar energy harvestingSleeping mechanismQuantizationArticle