Sensor networks that collect indoor environmental (IEQ) data are frequently used to drive building systems and to inform research and building standards. The research that connects the trends in IEQ data with human factors is well established and remains an active area of research. Conventional sensor systems often require specialized building infrastructure and are cost prohibitive, making them available primarily to large-scale indoor settings. In this thesis, we describe an alternative sensor network which utilizes a mobile sensor to collect IEQ data in traditionally under-served buildings. The sensor network is composed of inexpensive components and minimally relies on specialized infrastructure. We demonstrate that the sensor network maintains a uniquely fine spatial resolution, illustrating a unique utility beyond static sensor networks in conventional settings.