视频传感器网络节点感知模型与布局算法  

Nodes Sensing Model and Placement Algorithm of Visual Sensor Networks

作　　者：王昶 霍伟[1] Wang Chang;Huo Wei(China Academy of Electronics and Information Technology,Beijing,100043)

机构地区：[1]中国电子科技集团公司电子科学研究院,北京100043

出　　处：《电子测试》2018年第13期47-48,共2页Electronic Test

摘　　要：本文首先分析了视频传感器的成像特点,建立了基于模糊理论的各向异性有限观测场感知模型。进而提出了基于多智能体遗传计算(MAGA)的节点布局算法。该方法可高效优化求解出各节点空间位置及姿态,实验结果表明本算法具有良好的效果。The imaging specialty of visual sensor is analyzed. An anisotropic bounded observation field sensing model of visual sensor is proposed based on the fuzzy theory. The sensor placement methods are devised by means of multi-agent genetic algorithm（MAGA） to optimize the deployment of sensor nodes. The positions and poses of sensors can be worked out with high efficiency. Experiment results show that the algorithm proposed is effective.

关 键 词：有限观测场感知模型 传感器节点布局 视频传感器网络 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]