福建农林大学学报（自然科学版）2016，Vol.45Issue(4)：476-480,5.DOI:10.13323/j.cnki.j.fafu(nat.sci.).2016.04.018
基于RFID木制品物流多目标识别算法的优化
Optimization of the multi-object recognition algorithm based on RFID for woodwork logistics
摘要
Abstract
To improve the efficiency of multi-object recognition for woodwork logistics, an intellectual anti-collision algorithm was developed upon a ALOHA-based dynamic frame slotted anti-collision algorithm and analysis of simulation experiment on RFID colli-sion via probabilistic method. After validation, the new algorithm was capable of calculating the optimal frame length for next scan-ning based on the number of tags from previous scanning.关键词
RFID/SDK/多目标识别/防冲突算法Key words
RFID/SDK/multi-object recognition/anti-collision algorithm分类
管理科学引用本文复制引用
陈清耀,林宇洪,邱荣祖..基于RFID木制品物流多目标识别算法的优化[J].福建农林大学学报（自然科学版）,2016,45(4):476-480,5.基金项目
福建省科技厅重点资助项目(2014H0010) （2014H0010）
