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Study on optimization of anti-collision algorithm for mixed query tree

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成果类型:
期刊论文
作者:
Hong-wei Deng*;Lang Li;Xiao-Man Liang
通讯作者:
Hong-wei Deng
作者机构:
[Hong-wei Deng] College of Information Engineering, Hengyang Normal University, Hengyang, China
[Lang Li; Xiao-Man Liang] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China
通讯机构:
[Hong-wei Deng] C
College of Information Engineering, Hengyang Normal University, Hengyang, China
语种:
英文
关键词:
Classification (of information);Collision avoidance;Forestry;Anti-collision algorithms;Combined informations;Function analysis;Highest bit of collision;Label recognition;Lowest bit of collision;Query tree;System communications;Trees (mathematics)
期刊:
Journal of Ambient Intelligence and Humanized Computing
ISSN:
1868-5137
年:
2018
页码:
1-7
基金类别:
National Natural Science Foundation of China#&#&#No: 61572174 Science and Technology Plan Project of the Hunan Province#&#&#No: 2016TP1020 Hunan natural science foundation project#&#&#2017JJ4012
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
This paper studies the hybrid query tree algorithm, which uses the combined information of the largest and smallest collision bits to classify the markers. The labels are placed in four matrices to reduce collisions. The function analysis shows that the algorithm is better than QT and HQT by reducing the number of queries and system communication frequency. Thereby greatly improving the efficiency of label recognition. © 2018, Spri...

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