Sensing for city-scale IoT

Low power wide-area networks allow devices that cost a few dollars and are powered by 10-year batteries to connect to cellular base stations. We aim to use the potential of such devices for a wide variety of sensing applications. We will process physical properties of wireless signals collected on a wide-area testbed deployed across the CMU campus. We will analyze these signals for a wide variety of sensing goals including (but not limited to): location tracking of devices, spectrum sensing, and environmental sensing. This project provides hands-on experience on working with LoRa SX1276 transceiver boards and USRP devices. The student will program software radios in MATLAB and C++ to process signals from embedded boards and will also conduct field experiments along with graduate students on a campus-scale low-power network.