【作者】 陶丹； 马华东；

【Author】 Dan Tao, Huadong Ma (Department of Computer Science & Technology, Beijing University of Posts and Telecommunications, Beijing,100876, China)

【机构】 北京邮电大学计算机科学与技术学院智能通信软件与多媒体北京重点实验室；

【摘要】 视频传感器网络的大数据量和方向性传感两个显著特点使其有别于其他传统的传感器网络。如何能量有效地利用多节点间协同工作处理网络中大数据量视频信息,成为当前亟待解决的技术难题之一。本文设计了一种基于多层结构扩展C/S模型的视频传感器网络体系结构,能有效地支持多节点协同实现图像处理。并以图像融合为例,详细阐述了本文网络体系结构下多节点交互协同工作的整个过程。实验结果证明本文提出的方法是行之有效的。更多还原

【Abstract】 Different from conventional sensor networks, video sensor networks are distinctly characterized by their immense information and directional sensing models. How to energy-efficiently process video data by multiple cooperative sensors in video sensor networks is one of the most urgent issues to be solved. In this paper, we design a video sensor network architecture based on an extended multi-level C/S model, which effectively supports image process by multiple cooperative sensors. Moreover, taking example for image fusion, we detail the whole process among multi-source video data by cooperation. The experimental results testify our approach is feasible and effective.更多还原