Year: 2025
Type: conference-paper
Abstract: This paper explores leveraging a special structure design of sensor enclosures to reduce PM2.5 sensing energy consumption. Finegrained air quality monitoring is essential for public health and climate. However, existing air quality measurements are limited. For example, precise measurements from the regulatory station have very limited spatial coverage. The low-cost citizen science sensor network lacks coverage in socio-economically disadvantaged regions. Mobile platforms, such as vehicles or drones, provide more efficient sampling for air quality information. However, complicated vehicle power integration/retrofitting and high cost make it inaccessible to the general public. Therefore, we propose SEEES, a Structure-Enabled Energy-Efficient Sensing solution for PM2.5 sensing that leverages a self-adaptive elastic valve that replaces air pumps or fans to regulate the airflow input. As a proof-of-concept, SEEES has been put through preliminary experiments and simulation to verify the feasibility of battery-less PM2.5 sensing.
Institution: University of California, Merced
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Funder: University of California Merced
OpenAlex ID: W4411151258