Performance analysis of a stochastic wireless sensor node based on Markovian queuing theory

Abstract

ABSTRACT In this article, we present stochastic nature of a Wireless Sensor Network (WSN) node and perform extensive analysis based on the Markovian queuing theory for First In First Out (FIFO) and priority queue disciplines, considering a single server. The results demonstrate that, in addition to distribution of events, number of missed events also depends on average waiting time of event in the queue. The results also make it evident that selection of queue type in WSN node is critical for enhancing energy-efficiency performance of the node, and hence, there exists a need to assign priority to events before buffering stage.