Sensing under stress: resource constrained optimal information acquisition strategies
Abstract
Once a sensor node is deployed for monitoring hydrological variables, we often have to deal with constraints on the resources available to the sensor node. The most typical are energy available to power the node, and bandwidth limits on wireless communication channels. Other examples could be a limited number of sample bottles or the mass of salt available in an automated salt dilution gauging streamflow measurement system. In this research, we explore the trade off between information gained and resources used, some avenues for optimizing information gained, and the role of predictions and bi-directional communication with the nodes in achieving the optimum efficiency.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.H45T1431W