The Quail Ridge Wireless Mesh Network (QuRiNet) is a unique, experimental wireless mesh and environmental sensor network, established in 2004 at the Quail Ridge Reserve in Napa County, California.

Set in wildlands, free of electromagnetic noise and spectral interference, QuRiNet provides a wireless mesh testbed for the finer understanding of and development of protocols for medium access control, efficient routing, efficient mobility support, and experimental validation of designs proposed by computer scientists. It also provides both infrastructure for the transmission of and sensors for the collection of environmental, ecological and physiological data in real time.

QuRiNet is a joint project with the UC Davis Natural Reserve System and the Networks Lab at the Department of Computer Science, UC Davis.

An Overview of QuRiNet (PDF)

Our Vision

Our vision is a large-scale research platform that fuses environmental and engineering research and engineering.

We will continuously upgrade QuRiNet to keep network research current and relevant. We plan to expand the current mesh network to better support research on security and mobility issues in wireless networks through the addition and upgrades of heterogeneous nodes with various evolving technologies and with many testing and measuring instruments. We plan to continue to enhance the facility's existing capacity to improve support ecological applications, such as on-going automated animal tracking and global climate change research.

These applications include enhanced nodes to monitor atmospheric, soil and water conditions, as well as video and audio events. We plan to improve remote and universal access to QuRiNet for researchers in wireless networking as well as in the environmental sciences, where researchers can access the facility any time and from anywhere to carry out their settings adjustments, measurements, or networking protocol designs. We also envision research and testing on a wide range of related topics, such as solar power, antennas, and environmental sensor development.

© Copyright 2016.