Envisense hosts projects which apply pervasive computing technologies in the natural environment. These include larger-scale reconfigurable pervasive computing such as data acquisition for coastal and flood monitoring programmes (Secoas and FloodNet), and high tech designs such as our subglacial probes to study climate change through its effects on glaciers (GlacsWeb). Envisense projects use Sensor Networks in conjunction with state of the art software technologies including energy-efficient routing, intelligent agents, the Semantic Web and Grid computing. An introduction to Sensor Networks can be found on our Sensor Networks page.

There are three major projects in the Envisense portfolio:

• FloodNet is deploying nodes with significant computational power around a river floodplain. The information returned from the river is processed and used in the adaptive sampling feedback loop, whereby sensor sampling rates are increased in anticipation of flooding events.
• Secoas is deploying a larger number of smart sensors to measure sea bed movement. The sensors are capable of dynamic self-configuration and use decentralized algorithms that enable automated adaptation to failures, upgrades and requirement changes.
• GlacsWeb is monitoring glacier behaviour via different sensors and linking them together into an intelligent web of resources. Probes are placed on and under glaciers and data is collected from them by a base station on the surface. Measurements include snow melt, temperature, pressure and subglacial movement.

Envisense is actively seeking new projects to extend these activities. We are also equipped to provide consultancy services. Please contact us further information.