华南理工大学学报(自然科学版) ›› 2013, Vol. 41 ›› Issue (9): 107-112.doi: 10.3969/j.issn.1000-565X.2013.09.018

• 机械工程 • 上一篇    下一篇

基于 Petri 网的 WTIM 建模与动态性能评估

吴国光 刘桂雄 周松斌   

  1. 华南理工大学 机械与汽车工程学院,广东 广州 510640
  • 收稿日期:2013-02-05 修回日期:2013-03-26 出版日期:2013-09-25 发布日期:2013-08-01
  • 通信作者: 刘桂雄(1968-),男,教授,博士生导师,主要从事智能传感、网络化测控、无损检测研究. E-mail:megxliu@scut.edu.cn
  • 作者简介:吴国光(1983-),男,博士生,主要从事智能传感、网络化测控研究.E-mail:imguangzi@163.com
  • 基金资助:

    粤港关键领域重点突破项目(2012A090200005);广东省高等学校高层次人才项目(粤教师函[ 2010] 79 号文)

Modeling and Dynamic Performance Evaluation of WTIM Based on Petri Nets

Wu Guo- guang Liu Gui- xiong Zhou Song- bin   

  1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-02-05 Revised:2013-03-26 Online:2013-09-25 Published:2013-08-01
  • Contact: 刘桂雄(1968-),男,教授,博士生导师,主要从事智能传感、网络化测控、无损检测研究. E-mail:megxliu@scut.edu.cn
  • About author:吴国光(1983-),男,博士生,主要从事智能传感、网络化测控研究.E-mail:imguangzi@163.com
  • Supported by:

    粤港关键领域重点突破项目(2012A090200005);广东省高等学校高层次人才项目(粤教师函[ 2010] 79 号文)

摘要: 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.

关键词: 无线传感器接口模件, 数据流, Petri 网, 马尔可夫链

Abstract:

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.

Key words: wireless transducer interface module, dataflow, Petri nets, Markov chains

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