石雷,高宇,吴燎原,卫星,魏振春.基于干扰管理的矿井机车动态功率调度方法[J].电子测量与仪器学报,2017,31(2):287-294 |
基于干扰管理的矿井机车动态功率调度方法 |
Mine locomotive dynamic power scheduling method based on interference management |
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DOI:10.13382/j.jemi.2017.02.018 |
中文关键词: 干扰管理 矿井机车 动态功率调度 无线移动网络 |
英文关键词:interference management mine locomotive dynamic power scheduling wireless mobile net |
基金项目:国家自然科学基金(61370088,61501161)、国家国际科技合作专项(2014DFB10060)资助 |
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Author | Institution |
Shi Lei | 1. School of Computer and Information,Hefei University of Technology, Hefei 230009, China;
2. Engineering Research Center of Safety Critical Industry Measurement and Control Technology, Ministry of Education, Hefei 230009, China |
Gao Yu | School of Computer and Information,Hefei University of Technology, Hefei 230009, China |
Wu Liaoyuan | School of Computer and Information,Hefei University of Technology, Hefei 230009, China |
Wei Xing | 1. School of Computer and Information,Hefei University of Technology, Hefei 230009, China;
2. Engineering Research Center of Safety Critical Industry Measurement and Control Technology, Ministry of Education, Hefei 230009, China |
Wei Zhenchun | 1. School of Computer and Information,Hefei University of Technology, Hefei 230009, China;
2. Engineering Research Center of Safety Critical Industry Measurement and Control Technology, Ministry of Education, Hefei 230009, China |
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中文摘要: |
现有研究很少有直接适用于矿井机车的无线网络通信模型。针对矿井机车不断移动的特性,提出基于干扰管理的矿井机车动态功率调度方法。首先根据传统矿井机车通信过程,建立一种基于SIC的动态功率调度模型。为了使该模型可以在多项式时间内求解,提出SIC集合和最大SIC集合概念,并设计了一个求解所有最大SIC集合的算法,有效的降低求解问题的复杂度。仿真显示,该方法优化效果较之采用普通SIC方法改进率在20%~35%,相比于传统方法改进率在40%~50%。 |
英文摘要: |
There are few existing studies which are directly suitable for the mine locomotive wireless network communication model. According to the characteristics of mine locomotive constantly moving, the mine locomotive dynamic power scheduling method based on the interference management is proposed. First, according to the traditional mine locomotive communication process, a dynamic power scheduling model based on SIC is established. Tomake the model can solve in polynomial time, SIC set and maximum SIC set concept is proposed, and an algorithm for solving all the biggest SIC set is designed to effectively reduce the complexity of the solving problem. The simulations show that the improvement rate of the optimization effect of the methodthan ordinary SIC method isof between 20%~35%, andthe improvement rate isof between 40%~50% compared to traditional methods of no SIC. |
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