  Noise pollution is one of the topmost quality of life issues for urban
residents in the United States. Continued exposure to high levels of noise has
proven effects on health, including acute effects such as sleep disruption, and
long-term effects such as hypertension, heart disease, and hearing loss. To
investigate and ultimately aid in the mitigation of urban noise, a network of
55 sensor nodes has been deployed across New York City for over two years,
collecting sound pressure level (SPL) and audio data. This network has
cumulatively amassed over 75 years of calibrated, high-resolution SPL
measurements and 35 years of audio data. In addition, high frequency telemetry
data has been collected that provides an indication of a sensors' health. This
telemetry data was analyzed over an 18 month period across 31 of the sensors.
It has been used to develop a prototype model for pre-failure detection which
has the ability to identify sensors in a prefail state 69.1% of the time. The
entire network infrastructure is outlined, including the operation of the
sensors, followed by an analysis of its data yield and the development of the
fault detection approach and the future system integration plans for this.
