Object tracking by wireless sensor networks.

详细信息   

• 作者：Mao ; Xufei.
• 学历：Doctor
• 年：2010
• 导师：Li, Xiang-Yang,eadvisor
• 毕业院校：Illinois Institute of Technology
• ISBN：9781124146423
• CBH：3417928
• Country：USA
• 语种：English
• FileSize：7385297
• Pages：170

文摘

Wireless sensor networks WSNs) have been widely studied recently. Due to the low cost, easy deployment properties of WSNs, many applications based on WSNs have been widely used in our daily life, such as health monitoring, environmental surveillance, localization, target tracking and so on. In this work, we study indoor passive tracking problem using WSNs, in which we assume the target being tracked is "clean", i.e., there is no any equipment carried by the target and the tracking procedure is considered to be passive. We first show that Received Signal Strength Indicator and Link Quality Indicator, which were used in many current applications, are not as effective as expected for passive detection tracking) through our extensive test bed studies. We then propose to use light to track targets) using WSNs equipped with light sensors. To our best knowledge, this is the first work that studies the passive tracking problem in WSNs by using light sensors and general light sources. We propose several algorithms to study the moving patterns and some other properties, like height, moving speed and so on) of targets being tracked. We design and implement our tracking WSN test bed "iLight" consisting of 40 wireless sensor nodes and one base station laptop). Through extensive experimental results, we found that our tracking system can track single target effectively and efficiently. For example, the average error of the estimated height of targets is less than 3cm. Based on our extensive experience and test bed results of tracking single object we are continuing to work on the multiple objects tracking and counting problem which is our future work).