Journal of System Simulation ›› 2020, Vol. 32 ›› Issue (7): 1341-1348.doi: 10.16182/j.issn1004731x.joss.19-VR0469

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Preloading Mechanism of Large-scale Web3D Scene Based on DR Prediction

Zhang Huijuan, Guo Xinqi, Wang Dongqing, Jia Jinyuan   

  1. Tongji University, School of Software Engineering, Shanghai 201804, China
  • Received:2019-08-30 Revised:2020-01-03 Online:2020-07-25 Published:2020-07-15

Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. It provides a new way to the loading mechanism.

Key words: preloading, Web3D, dead reckoning prediction, path clustering

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