Mobile object localization and tracking means that a multitude of sensor nodes collaborate with each other to determine the locations and tracks of target objects in a specified area. It is one of the most significant research directions in WSN. This paper implements a system named MOLTS (Mobile Object Localization and Tracking System Based on Wireless Sensor Networks), which applies abundant sound and passive infrared sensors to make localization and tracking complementarily. The fusion of two kinds of sensors can enhance accuracy of the system significantly, and expands the application range. Moreover, we propose a new localization algorithm named FER-NLS based on ER-NLS. FER-NLS is more accurate than ER-NLS in localization and tracking. The evaluation platform of MOLTS consisted of 16 sound and passive infrared sensor nodes verifies accuracy and efficiency of the system. In addition, we equipped testbed boards designed by ourselves with MOLTS to make evaluations, and the results show that MOLTS is with high stability and reliability.
展开▼
