Performance evaluation of a service differentiation mechanism in Wireless Sensor Network

Abstract

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.