Organizing neighbors self-adaptively based on avatar interest for transmitting huge DVE scenes
Mingfei Wang, Jinyuan Jia, Yunxiao Zhongchu, Chenxi Zhang
Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2014, pp. 105--111.
Abstract: Due to the free roaming behaviors of avatars in virtual scenes, the logical topology of the nodes may change dramatically in real large scale scene transmissions. In order to address the above problem, we are the first to use the avatar interest to improve the transmission of virtual scenes. First, we analyzed common social behaviors of avatars in the virtual world and quantified the characteristics of avatars' interest. Then, we proposed an algorithm to compute the interest similarity, and divided the nodes in the virtual world into diverse clusters. Next, we also proposed an algorithm to build a stable neighbor mesh for each node. Finally, we conducted extensive simulation experiments that simulate the behaviors of avatars in the popular MMOG; the simulation results showed that the node organizing mechanism that we proposed could mitigate the impact of the neighbor churn effectively, at the same time the message exchange between nodes have reduced significantly and other performance metrics such as fill ratio etc. have improved greatly.
@inproceedings{10.1145-2670473.2670477,
author = {Mingfei Wang and Jinyuan Jia and Yunxiao Zhongchu and Chenxi Zhang},
title = {Organizing neighbors self-adaptively based on avatar interest for transmitting huge DVE scenes},
booktitle = {Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry},
pages = {105--111},
year = {2014},
}
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