Real-time Sensor Localization for Three-dimensional Indoor Wireless Sensor Networks
Advisor Information
Azad Azadmanesh
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
7-3-2014 9:00 AM
End Date
7-3-2014 12:00 PM
Abstract
Central to many Wireless Sensor Network (WSN) applications is the importance of designing efficient and successful sensor area localization (SAL) algorithms. SAL refers to the process of estimating and computing the physical global or reference positions of the sensor nodes. In spite of many solutions, the majority of SAL algorithms are based on two-dimensional (2D) plane rather than the three- dimensional (3D) scenario useful for real world applications. This study aims to demonstrate the ability of localizing objects equipped with sensors and cameras in WSNs by utilizing the Building Information Modeling (BIM) technique and 3D stereo image measurements. In particular, a novel approach composed of two phases is proposed to realize SAL of dynamic objects within an indoor 3D test space. In the region determination (RD) phase, the physical area in which a dynamic target will be localized is estimated by utilizing a group of sensor nodes preinstalled in the working space. In RD, 3D spatial information (coordinates) will be generated based on the BIM technique to visualize the target space, so that the spatial relationship of existing objects within the test space can be determined. Once the physical area is estimated, sensor node localization (SNL) phase will determine the exact location of the object based on a distance measurement technique using stereo image in the defined specific region.
Real-time Sensor Localization for Three-dimensional Indoor Wireless Sensor Networks
Dr. C.C. and Mabel L. Criss Library
Central to many Wireless Sensor Network (WSN) applications is the importance of designing efficient and successful sensor area localization (SAL) algorithms. SAL refers to the process of estimating and computing the physical global or reference positions of the sensor nodes. In spite of many solutions, the majority of SAL algorithms are based on two-dimensional (2D) plane rather than the three- dimensional (3D) scenario useful for real world applications. This study aims to demonstrate the ability of localizing objects equipped with sensors and cameras in WSNs by utilizing the Building Information Modeling (BIM) technique and 3D stereo image measurements. In particular, a novel approach composed of two phases is proposed to realize SAL of dynamic objects within an indoor 3D test space. In the region determination (RD) phase, the physical area in which a dynamic target will be localized is estimated by utilizing a group of sensor nodes preinstalled in the working space. In RD, 3D spatial information (coordinates) will be generated based on the BIM technique to visualize the target space, so that the spatial relationship of existing objects within the test space can be determined. Once the physical area is estimated, sensor node localization (SNL) phase will determine the exact location of the object based on a distance measurement technique using stereo image in the defined specific region.