  Wireless Sensor Network (WSN) usually consist of hundreds or thousands of
sensor nodes scattered in a geographical area and one or multiple sink(s)
collecting information. The special design and character of sensors and their
applications make WSNs different from traditional networks. These
characteristics pose great challenges for architecture and protocol design,
performance modeling, and implementation. Accurately modeling the data
generated by each sensor node is essential for correctly simulating network
traffic, network congestion, interference between nodes and the energy expended
by each node. Successful design leads to enhancing the overall performance of
the whole of network. In this paper we analyze the performance of WSN with
N-BURST traffic model. The impact of bursty traffic on the mean packet delay
and buffer overflow probability is investigated analytically. We study the
effects of bursty WSN traffic through simulations with three different cases.
Both short-range dependency (SRD) traffic and long range dependency (LRD)
traffic are simulated over different burst parameters. Finally we study the
effect of pareto OFF time through simulation. The results are collected for 10
different 24 hour simulated periods in order to study and measure day-today
statistical fluctuation.
