为提高智能无线传感器节点的工作效率，缓解计算能力、资源与系统性能之间的矛盾，利用 Petri 网建立了无线传感器接口模件( WTIM) 的数据流模型，并基于模型的可达状态同构为马尔可夫链模型，获得了二维状态转移空间图与稳态状态的概率分布; 分析了WTIM 结构参数对模型数据丢失率等性能的影响规律，并提出了相应的参数优化配置方法．该模型在无线视频系统中的应用表明，建模后的数据丢失率比建模前降低了 49．8%，从而验证该模型的有效性．

In order to improve the working efficiency of smart wireless sensor nodes and to solve the conflicts between the limited computation ability,the resources and the system performance,first,a dataflow model of the wireless transducer interface module (WTIM) is constructed based on Petri nets,and an isomorphic Markov chain model is constructed according to the reachable state of the proposed model.Next,a two- dimension state transition graph and a stable state probability distribution are obtained.Then,the effects of the WTIM structure parameters on the data loss rate of the proposed model are discussed,and an optimized configuration method of the WTIM structure parameters is devised.Finally,the proposed model is applied to a wireless video system.It is found that the data loss rate after modeling is 49.8% lower than that before modeling.Thus,the proposed model proves to be efficient.