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3D多媒体传感器网络中的视觉信息的监测更为复杂多变,在感知模型设定、连通覆盖等方面均不同于2D,使得视觉覆盖面临许多新的问题.本文研究3D有向多媒体传感器网络视觉覆盖率优化机制.首先提出3D感知空间近似模型,对节点感知模型进行实例化,通过空间近似方法降低计算复杂度.在此基础上,设计空间冗余最小化的感知方向调整算法,提高节点视域利用率,进而优化视觉覆盖率和有向目标鉴别率.仿真实验结果表明,视觉覆盖率和目标鉴别率分别在随机分布的基础上提高了82.5%和27.6%,即利用该算法能够提高视觉覆盖率和目标鉴别率.
The monitoring of visual information in 3D multimedia sensor network is more complex and changeable, and it is different from 2D in the aspects of perceptual model setting and connectivity coverage, which makes the visual coverage face many new problems.This paper studies the visual coverage of 3D directed multimedia sensor network Rate optimization mechanism.At the beginning of this paper, the 3D perception space approximation model is proposed to instantiate the node perception model and reduce the computational complexity by using the method of spatial approximation.On the basis of this, a perceptual direction adjustment algorithm with minimum space redundancy is designed to improve the node horizon And then optimize the visual coverage and directional target recognition rate.The simulation results show that the visual coverage and the target recognition rate are increased by 82.5% and 27.6% respectively based on the random distribution, that is, the algorithm can improve the visual coverage Rate and target discrimination rate.