Device-free reconstruction and real-time location based on shadowing model in radio tomographic imaging

The emerging technology, radio tomographic imaging (RTI), uses the attenuation characteristic of wireless signal to locate and trace objects. A linear model with the SPIN communication protocol for received signal strength (RSS) measurements is presented in this paper to get objects' image in our deployed RTI system. To improve the image reconstruction speed, least absolute shrinkage and selection operator (LASSO) algorithm of compressed sensing field is referred to and compared. Moreover, modified l₁-norm regularization is adopted to enhance the resolution of image reconstruction, which is compared with Tikhonov. Based on sixteen JENNIC 5 139 sensor nodes, some experiments have been developed for imaging and tracking the objects inside an area of sixteen square feet. Although there are some differences between simulations and real experiments, the positions of objects can be accurately located from both simulations and real measurements.