引用本文:黄有方,吴华锋,肖英杰,杨勇生,李军军.有矩形障碍物的物流射频识别网络优化研究[J].控制理论与应用,2014,31(1):49~56.[点击复制]
HUANG You-fang,WU Hua-feng,XIAO Ying-jie,YANG Yong-sheng,LI Jun-jun.On the optimization of logistics radio frequency identification network with rectangular obstacles[J].Control Theory and Technology,2014,31(1):49~56.[点击复制]
有矩形障碍物的物流射频识别网络优化研究
On the optimization of logistics radio frequency identification network with rectangular obstacles
摘要点击 2316  全文点击 1737  投稿时间：2013-03-11  修订日期：2013-07-13
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DOI编号  10.7641/CTA.2014.30194
  2014,31(1):49-56
中文关键词  矩形障碍物  射频识别  网络优化  跨立实验  执行概率
英文关键词  rectangular obstacle  radio frequency identification (RFID)  network optimization  straddle test  execution probability
基金项目  国家自然科学基金资助项目(51279099); 上海市科学技术委员会基金资助项目(12ZR1412500); 上海市教委科研创新基金重点项目资 助(13ZZ124); 上海市教育委员会和上海市教育发展基金会“曙光计划”基金资助项目(12SG40); 交通运输部应用基础研究资助 项目(2013329810300).
作者单位E-mail
黄有方 上海海事大学  
吴华锋 上海海事大学  
肖英杰 上海海事大学  
杨勇生 上海海事大学  
李军军* 上海海事大学 jsliljj@163.com 
中文摘要
      针对存在矩形障碍物的物流射频识别网络, 综合考虑覆盖率、负载平衡程度、成本, 建立了网络优化模型. 将矩形障碍物对阅读器识别能力的影响问题, 归结为线段与矩形对角线的交叉问题. 讨论了快速排斥实验对判断是否交叉的 影响程度. 为减少计算量, 提高算法寻优能力, 基于Sigmoid函数设计了“跨立实验”执行概率. 迭代前期,“跨立实验”执行概率低, 加快算法探索速度; 迭代后期,“跨立实验”执行概率高, 提高算法开发精度. 仿真实验表明, 该方法具有较佳的搜索性能.
英文摘要
      logistics radio frequency identification (RFID)-based network with rectangular obstacle. The effect from the rectangular obstacle on the identification ability of readers is attributed to the intersection problem of the line segment and the rectangular diagonal, and the impact from the quick rejection test on the determination of intersection is discussed. To reduce the computational complexity and improve the search capability, we introduce the straddle test and design its execution probability based on the sigmoid function. In the prophase of the iterative process, the execution probability of straddle test is set to a low value for accelerating the exploration speed. In the anaphase, the execution probability of straddle test is set to a high value for improving the exploitation precision. Simulation results show that the proposed method can achieve better searching ability.