摘要
无线射频识别技术中标签碰撞是影响系统性能的主要瓶颈,针对现有防碰撞算法存在标签识别空档期较长、树结构复杂等缺点,提出一种基于多状态四叉树分时隙优化算法。通过对广播时隙和标签集状态的动态分割,并根据各个树结点的状态进行标签集状态分类,大幅度地减小了树的深度及通信开销。仿真实验表明:相比传统二进制算法而言,该算法可将总的广播次数和数据传输量分别降低约50%与40%,适用于大规模标签的应用场景。
Tag collision is the main bottleneck affecting system performance in wireless radio frequency identification technology.Combining time slot partitioning and set state management schemes,a multi-state quad-tree based time slot optimization algorithm is proposed to address the shortcomings of existing anti-collision algorithms,such as long tag recognition gap periods and complex tree structure.By dynamically segmenting broadcast time slots and label set states,and classifying label set states based on the status of each tree node,the depth and communication overhead of the tree are significantly reduced.Simulation experiments show that compared to traditional binary algorithms,this algorithm can reduce the total number of broadcasts and data transmission by about 50%and 40%,respectively,making it suitable for large-scale labeling applications.
作者
凌羡彦
陶青平
王莉
Ling Xianyan;Tao Qingping;Wang Li(Maanshan Iron and Steel Co.,Ltd.,Maanshan Anhui 243000 China)
出处
《安徽冶金科技职业学院学报》
2025年第2期37-40,共4页
Journal of Anhui Vocational College of Metallurgy and Technology
作者简介
凌羡彦(1991-),女,马钢有限公司检测中心区域工程师,工程师,国家一级注册计量师,从事自动化控制研究;王莉(1976-),女,马钢有限公司检测中心计量单元党支部书记、主任,兼任综合管理室(党群工作部、纪检监督室)副主任,政工师,从事检化验技术管理、研究工作;通信作者:陶青平(1970-),男,马钢有限公司检测中心副主任,高级工程师,从事钢铁检化验技术研究。
