传感技术学报Issue(7)：956-963,8.DOI:10.3969/j.issn.1004-1699.2014.07.018
视频传感器网络中基于移动目标轨迹预测的K级覆盖增强算法
A K level Coverage Enhancement Algorithm Based on Moving Target Trajectory Prediction for Video Sensor Networks
摘要
Abstract
This paper starts from the directional perception model of video sensor nodes,further studies the moving target with K level coverage problem. First, the directional perception model of rotatable video sensor nodes is extended,the possible behaviors of moving target in the monitoring area are analyzed, the problem of minimum rotation angle of moving target with K level coverage is defined and the corresponding mathematical description is given. Then,we put forward a distributed prediction-based greedy K level coverage algorithm, which introduces a target trajectory prediction method. Finally,by comparing the optimized coverage quality evaluation indicators,a set of simulation results is performed to demonstrate the effectiveness of the proposed algorithm.关键词
视频传感器网络/移动目标覆盖/K级覆盖/分布式算法Key words
video sensor networks/moving target coverage/K level coverage/distributed algorithm分类
信息技术与安全科学引用本文复制引用
蒋一波,陈琼,王万良,楼弘..视频传感器网络中基于移动目标轨迹预测的K级覆盖增强算法[J].传感技术学报,2014,(7):956-963,8.基金项目
“十二五”国家科技支撑计划项目（2012BAD10B01) （）
国家自然科学基金项目（61379123) （）
国家自然科学基金项目（61070043) （）
国家自然科学基金项目（61102067) （）
