Radio tomographic imaging (RTI) uses the radio signal strength (RSS) data obtained from a wireless sensor network (WSN) to form images of the obstructions in the network. In the previous design and implementation, the WSN utilized two different wireless transmitter modules along with a microcontroller. The proposed new architecture consists of microcontrollers, which have built-in Wi-Fi modules, and XBee transmitters. The RSS values are generated by the XBee modules as in the previous design. However, in the proposed design, the microcontroller can be connected to a Local Area Network (LAN) via the Wi-Fi router, which enables the main computer to receive the RSS values using the User Diagram Protocol (UDP) for data processing. The new architecture will have a custom designed printed circuit board (PCB) to improve method of powering and physical packaging of the regular nodes. Therefore, this new design will enable the research team to scale the WSN easier and therefore, increase mobility of the sensor nodes for outdoor tests.
This paper discusses (a) the design and implementation of the integrated radio tomographic imaging (RTI) interface for radio signal strength (RSS) data obtained from a wireless sensor network (WSN) (b) the use of model-driven methods to determine the extent of regularization to be applied to reconstruct images from the RSS data, and (c) preliminary study of the performance of the network.
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