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工业无线传感网混合关键性业务带宽分配算法 被引量:1

The Bandwidth Allocation Algorithm for Mixed-criticality Traffic in Industrial Wireless Sensor Networks
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摘要 在工业无线传感网中,对业务传输的实时性和可靠性都有较高的要求.本文基于广义的最大-最小效用公平准则,通过线性分段函数对计算过程进行简化,提出基于线性分段函数的一种带宽分配方法.该方法基于集中式控制的结构,既保障高关键性业务的及时传输,又不会对高实时性低带宽需求的业务造成影响.通过部署在天津石化的无线数据采集网络对算法性能进行测试,验证了算法的有效性和可行性. In industrial wireless sensor networks, it has higher requirements in real-time and reliability, based on the generalized UMM fair principles, using the ideas of piecewise linear function to simplify the calculation, we presents a resource allocation algorithm based on piecewise linear function. The method is based on the structure of centralized control, and can ensure timely transfer of the high time critical traffic, but not affect the traffic with high real-time and low bandwidth requirements. Finally, through the wireless data acquisition network deployed in Tianjin Chemical Corporation, we test the performance of algorithm.
作者 王军 王秋石 王金涛 WANG Jun1, WANG Qiu-shi2, WANG Jin-tao2,3(1 China Petroleum and Chemical Corporation, Tianjin Branch, Tianjin 300271, China; 2 Industrial Control Networks and Systems Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; 3 University of Chinese Academy of Sciences, Beijing 100049, Chin)
出处 《微电子学与计算机》 CSCD 北大核心 2018年第4期22-25,31,共5页 Microelectronics & Computer
基金 国家自然科学基金(61533015)
关键词 工业控制网络 数据采集 实时性 带宽分配 软件定义网络 industrial control network data acquisition real-time bandwidth allocation SDN
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  • 1Vestal S. Preemptive scheduling of multi-criticality systems with varying degrees of execution time assurance[A].IEEE,2007.239-243.
  • 2Bastoni A,Brandenburg BB,Anderson JH. An empirical comparison of global,partitioned,and clustered multiprocessor EDF Schedulers[A].IEEE,2010.14-24.
  • 3Kelly OR,Aydin H,Zhao B. On partitioned scheduling of fixed-priority mixed-criticality task sets[A].IEEE,2011.1051-1059.
  • 4Baruah SK,Chattopadhyay B,Li H,Shin I. Mixed-Criticality scheduling on multiprocessors[J].REAL-TIME SYSTEMS,2014,(01):142-177.
  • 5Baruah SK,Bonifaci V,D'Angelo G,Marchetti-Spaccamela A,Van D. Mixed-Criticality scheduling of sporadic task systems[A].Springer-Verlag,2011.555-566.
  • 6Ekberg P,Yi W. Outstanding paper award:Bounding and shaping the demand of mixed-criticality sporadic tasks[A].IEEE,2012.135-144.
  • 7Baruah SK,Mok AK,Rosier LE. Preemptively scheduling hard-real-time sporadic tasks on one processor[A].IEEE,1990.182-190.
  • 8Baruah SK,Li H,Stougie L. Towards the design of certifiable mixed-criticality systems[A].IEEE,2010.13-22.
  • 9Baruah SK,Bums A,Davis RI. Response-Time analysis for mixed criticality systems[A].IEEE,2011.34-43.
  • 10Baruah SK,Bonifaci V,D'Angelo G,Li H,Marchetti-Spaccamela A,Megow N,Stougie L. Scheduling real-time mixed-criticality jobs[J].IEEE Transactions on Computers,2012,(08):1140-1152.

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