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Generalized Stochastic Petri Nets Modelling for Energy Harvesting WSNs considering Neighbors with different Vicinity Levels

In this paper, we use Generalized Stochastic Petri Nets (GSPN) formalism to model the communication between an SN and its neighbors in wireless sensor networks (WSN). This modelling considers several actual considerations such as sensor vacations and retrial calls phenomenon. Furthermore, given that sensor nodes (SN) consume almost all their energy in the transmission process that varies according to the distance of the neighbors, our model considers different levels of vicinity for communicating neighbors. Our study proves that our modelling, which provides a more realistic approach to describe the actual behavior of the WSN, can identify the input parameter scenario to have a network with a good compromise between longevity and performance.