视频传感器网络中无盲区监视优化  

Coverage Optimization of Occlusion-Free Surveillance for Video Sensor Networks

作　　者：蒋一波[1] 王万良[1] 陈伟杰[2] 郑建炜[1] 姚信威[2] 

机构地区：[1]浙江工业大学计算机科学与技术学院,浙江杭州310023 [2]浙江工业大学信息工程学院,浙江杭州310023

出　　处：《软件学报》2012年第2期310-322,共13页Journal of Software

基　　金：国家自然科学基金(61070043);浙江省自然科学基金(Y1100611)

摘　　要：针对监控区域存在障碍物的情况,从无线视频传感节点的有向感知特性出发,讨论了视频传感器网络覆盖效果与监控区域之间的相互关系.在此基础上,定义了视频传感器网络的无盲区覆盖模型.基于虚拟势场的工作原理,提出了一种适用于无盲区覆盖模型的覆盖率动态优化算法PFOFSA(potential field based occlusion-free surveillance algorithm).设计了PFOFSA中虚拟力的相互作用方法与监控节点运动规则,通过监控区域、重叠区域和遮挡区域之间的相互作用,逐步消除网络中的感知重叠区和盲区,优化视频无线传感器网络的覆盖率.最后,通过一系列的仿真实验分析了不同监控区域参数对PFOFSA算法的影响,验证了算法的有效性.This paper studies the problem of surveillance area of WVSN （wireless video sensor network） with obstacles, which is finding the optimized view-orientations for all video sensors to maximize multimedia coverage. In this paper, the characteristics of direction adjustable sensing model are discussed and the relation between sensors and obstacles is analyzed. Then, a coverage enhancement algorithm PFOFSA （potential field based occlusion-free surveillance algorithm） is proposed, which could effectively minimize the negative effect of occlusion and overlapping in the sensing field. In PFOFSA, three kinds of virtual centroid point are defined for simplifying the structure of effective region, occlusion region and overlapping region. Two kinds of relationship between virtual force and orientation rotation are constructed and made comparison in experiments. Finally, a set of simulation results are performed to demonstrate the effectiveness of PFOFSA. According to the experiments, PFOFSA could maximize the coverage of WVSN with obstacles and make higher coverage rate than other algorithms.

关 键 词：无线视频传感器网络 无盲区监视 视频覆盖 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]