Sensing Systems

MICL faculty and students are working to make distributed wireless sensing technologies widely accessible; e.g., to medical personnel for better treatment of patients due to improved information about their illnesses; to civil engineers for inexpensive monitoring of the safety of buildings and bridges; and to all who want to understand the impact of personal behavior on their health and the environment. Progress toward this goal depends on a wide range of enabling technologies, primarily, inexpensive, long-lived, compact, energy-efficient sensing; computation and communication hardware; and appropriate software. Our work on these technologies spans ultra-energy-efficient processors for sensing systems (Sylvester and Blaauw); energy-efficient transceivers for wireless communication (Flynn and Wentzloff); efficient data encoding circuits (Zhang); accessible sensing system specification languages, compilers, and design automation algorithms (Dick); and compact and novel low-power sensors (faculty in the Center for Wireless Integrated MicroSystems, WIMS2: wims2.org).