Demonstration abstract: A MEMS-based airflow sensor network

Abstract

The accurate measurement of airflow patterns at high spatial and temporal resolutions is of great importance for building design and operation. Microelectromechanical Systems (MEMS) technology can be used to develop miniaturized airflow sensors capable of detecting both airflow speed and direction at high temporal resolution. Wireless sensor networks (WSNs) are used extensively for large-scale monitoring at high spatial resolution. Thus, the integration of MEMS and WSN technologies enables the measurement of airflow patterns at high spatial and temporal resolution. In this work, we developed a prototype MEMS-based airflow sensor network and deployed it in a building environment.

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@article{Lim2014DemonstrationAA, title={Demonstration abstract: A MEMS-based airflow sensor network}, author={Hock-Beng Lim and Fei Xue and Shuwei Liu and Shanshan Pan and Jianmin Miao and Les Norford}, journal={IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks}, year={2014}, pages={321-322} }