Lucid dreaming: reliable analog event detection for energy-constrained applications

— Existing sensor network architectures are based on the assumption that data will be polled. Therefore, they are not adequate for long-term battery-powered use in applications that must sense or react to events that occur at unpredictable times. In response, and motivated by a structural autonomous crack monitoring (ACM) application from civil engineering that requires bursts of high resolution sampling in response to aperiodic vibrations in buildings and bridges, we have designed, implemented, and evaluated lucid dreaming, a hardware–software technique to dramatically decrease sensor node power consumption in this and other event-driven sensing applications. This work makes the following main contributions: (1) we have identified the key mismatches between existing sensor network architectures and event-driven applications; (2) we have proposed a hardware–software technique to permit the power-efficient use of sensor networks in event-driven applications; (3) we have analytic...

• Type: Conference
• Year: 2007
• Where: IPSN
• Authors: Sasha Jevtic, Mathew Kotowsky, Robert P. Dick, Peter A. Dinda, Charles Dowding
• Keywords: Event-driven Applications, Hardware–software Technique, IPSN 2007, Sensor Network Architectures, Sensor Networks