吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

大数据背景下混合层次包围盒碰撞检测算法的优化

李健1, 王明月1, 姚汝婧1, 曹春玲2, 胡雅婷1   

  1. 1. 吉林农业大学 信息科学与技术学院, 长春 130118; 2. 吉林大学 数学学院, 长春 130012
  • 收稿日期:2016-11-10 出版日期:2017-05-26 发布日期:2017-05-31
  • 通讯作者: 曹春玲 E-mail:caocl@jlu.edu.cn

Optimization of Collision Detection Algorithm Based on HybridHierarchical Bounding Box under Background of Big Data

LI Jian1, WANG Mingyue1, YAO Rujing1, CAO Chunling2, HU Yating1   

  1. 1. School of Information Science and Technology, Jilin Agricultural University, Changchun 130118, China;2. College of Mathematics, Jilin University, Changchun 130012, China
  • Received:2016-11-10 Online:2017-05-26 Published:2017-05-31
  • Contact: CAO Chunling E-mail:caocl@jlu.edu.cn

摘要: 基于层次树和时空相关性理论研究大数据的快速处理及优化算法在农业物联网中的快速应用, 提出一种改进的混合层次包围盒树和碰撞检测算法. 实验结果表明, 该优化算法在农业物联网等领域具有一定的推广价值.

关键词: 碰撞检测算法, 混合层次包围盒, 物联网, 时空相关性, 优化算法

Abstract: Based on the method of hierarchical tree and the spatialtemporal correlation theory, we studied the problem of fast processing of big data and the fast application of optimization algorithm in the agricultural Internet of things, and proposed an improved hybrid hierarchical bounding box tree and collision detection algorithm. The experimental results show that the optimization algorithm has a certain promotion value  in the field of agricultural Internet of things.

Key words: hybrid hierarchical bounding box,  Internet of things, spatialtemporal correlation, collision detection algorithm, optimization algorithm

中图分类号: 

  • TP312