Object tracking and qos control for wireless sensor networks
文献类型:期刊论文
作者 | Tu Guofang1; Gao Shaoshuai2; Zhang Can1,3 |
刊名 | Chinese journal of electronics
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出版日期 | 2009-10-01 |
卷号 | 18期号:4页码:724-728 |
关键词 | Multi-sensor network Video object tracking Wavelet fractal interpolation Qos control |
ISSN号 | 1022-4653 |
通讯作者 | Tu guofang(gft@gucas.ac.cn) |
英文摘要 | Object tracking and the quality of services (qos) control is one of the key issues in wireless sensor networks. in order to track objects and provide information about the location, trajectory and identity for each object, we propose a new object tracking and qos control scheme using both infrared sensors and video cameras. object searching is done using a three level wavelet representation, which can significantly reduce the searching space. hierarchical wavelet representation will also facilitate qos control in the wireless sensor network environment. the experimental result shows that this new method can achieve better performance than existing algorithms, and can be applied to dynamically track the bandwidth variation. |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
语种 | 英语 |
WOS记录号 | WOS:000271448300029 |
出版者 | TECHNOLOGY EXCHANGE LIMITED HONG KONG |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2397144 |
专题 | 中国科学院大学 |
通讯作者 | Tu Guofang |
作者单位 | 1.Chinese Acad Sci, Graduated Univ, Sch Informat Sci & Engn, Beijing 100049, Peoples R China 2.Natl Inst Stand & Technol, Gaithersburg, MD 20899 USA 3.Chinese Acad Sci, Grad Univ, State Key Lab Informat Secur, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Tu Guofang,Gao Shaoshuai,Zhang Can. Object tracking and qos control for wireless sensor networks[J]. Chinese journal of electronics,2009,18(4):724-728. |
APA | Tu Guofang,Gao Shaoshuai,&Zhang Can.(2009).Object tracking and qos control for wireless sensor networks.Chinese journal of electronics,18(4),724-728. |
MLA | Tu Guofang,et al."Object tracking and qos control for wireless sensor networks".Chinese journal of electronics 18.4(2009):724-728. |
入库方式: iSwitch采集
来源:中国科学院大学
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