Résumé:
Wireless sensor networks (WSNs) have undergone significant advancements in
recent years, increasing their use in various applications. WSNs can now collect and transmit
large amounts of data from remote and harsh environments, enabling real-time monitoring
and control of physical systems. They are used in environmental monitoring, precision
agriculture, industrial automation, healthcare, and smart cities.
Energy is a critical issue in wireless sensor networks (WSNs) due to the limited
battery life of sensor nodes. The energy problem in WSNs arises because sensor nodes are
typically deployed in remote and harsh environments, making replacing or recharging their
batteries difficult or impossible. As a result, energy management is a crucial aspect of WSN
design and operation.
In order to mitigate the energy problem in WSNs, we propose models based on the
vacation queueing using Generalized stochastic Petri nets (GSPNs). Then we used the
model’s corresponding Continuous Time Markov Chain (CTMC) to deduct the algorithm of
the infinitesimal generator. Finally, based on these models, the formulas of the main
performance indices are inferred for the evaluation of wireless sensor nodes.
Keywords: WSN, Service Differentiation, Vacation Queueing, N-Policy, GSPNs, IEEE 802.15.4, CTMC.
