A SPN-Based Performance Evaluation of Wireless Sensor Networks

On the basis of communication process a Stochastic Petri Net (SPN) model is constructed to analyze the performance of Wireless Sensor Networks (WSNs). The effects of arrival rate, data packet number, sink node's buffer size on average time delay, throughput and the utilization of the sink node buffer are also analyzed by solving the linear equations from corresponding isomorphic Markov Chains of the SPN model under different parameters. The proposed approach has great benefit to the design and performance evaluation of WSNs.

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