Research Article
Quadrilateral Model Based Radio Tomographic Imaging in Random Wireless Sensor Network
@INPROCEEDINGS{10.4108/eai.15-8-2015.2260715, author={Ge Yu and ZhiIyuan Li and Mu Zhou and Xiaoge Huang}, title={Quadrilateral Model Based Radio Tomographic Imaging in Random Wireless Sensor Network}, proceedings={10th EAI International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={9}, keywords={radio tomographic imaging multi-wall model quadrilateral model pictures superposition minimum meansquare error}, doi={10.4108/eai.15-8-2015.2260715} }- Ge Yu
ZhiIyuan Li
Mu Zhou
Xiaoge Huang
Year: 2015
Quadrilateral Model Based Radio Tomographic Imaging in Random Wireless Sensor Network
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2260715
Abstract
Radio Tomographic Imaging (RTI) is a popular technique for locating the target by using the characteristic that the Received Signal Strength (RSS) varies dramatically as the signal is obstructed by the target in Wireless Sensor Network (WSN). The existed works mainly rely on the establishment of linear models to locate the target by using the weight matrix in an elliptical model. This paper first gives an indoor environment with randomly distributed wireless sensors, and then proposes a linear model in a quadrilateral relating the changes of RSS to locate the target. In our approach, the Minimum Mean Square Error (MMSE) is utilized to construct the weight matrix for the linear model. Furthermore, the concept of pictures superposition is considered to process the images to enable the highly-accurate localization. The experimental results show that based on the proposed approach, the localization error in the single target situation is lower than 0.2 m by using the superposition of only five quadrilaterals.
