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As the most important issue in wireless sensor networks, power saving is catching researchers' great attentions all the time. Among several power saving strategies, one of the best methods is to make unused components inactive whenever possible, i.e. applying sleep scheduling schemes to sensors. In this paper, by analyzing and concluding existing works, the authors propose four sleep scheduling schemes (ACAA, SRAA, SAA and NCAA) for different kinds of application environments, then analyze each of them by Stochastic Petri Net (SPN). They can easily get the average power consumptions and event delays of sensor nodes by using the steady state probability matrix of the SPN models.
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