Performance behaviour of WSN with bursty traffic

Wireless Sensor Networks (WSNs) usually consist of hundreds 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 network. In this paper we analyze the performance of WSN with N-BURST traffic model with and without upper bound delay. The effects of three types of bursty traffic models are evaluated. We study the effects of bursty WSN traffic through simulations. Short-range dependency (SRD) traffic, long range dependency (LRD) traffic and long range dependency traffic with power tail (PT) OFF times are simulated over different burst parameters with and without upper bound delay. The results are collected for 10 different 24 hour simulated periods in order to study and measure day to day statistical fluctuation of the phenomenon.