Lucid dreaming
Sasha Jevtic, Mathew Kotowsky, Robert P. Dick, Peter A. Dinda, Charles H. Dowding
Study at a glance
AI-extracted from the abstract| Characteristics | Evaluation |
|---|---|
| Topics | Dreaming Lucid dreaming |
| Keywords | Cognitive science |
| Citations | 26 |
| Key points | The lucid dreaming technique dramatically decreases sensor node power consumption in event-driven sensing applications such as autonomous crack monitoring. |
Abstract
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.