CLEO
The goal of project CLEO is to develop device and services to encourage and enable participatory sensing and citizen scientists. A core technology developed in the project is to make location sensing energy efficient, so devices can be small, light, sample more frequently, and low cost. The approach is called Cloud-Offloaded GPS (or CO-GPS). A second service is a web-based sensor data management service called CLEO DB. It leverage SQL Azure and OData interface to support open data access.
Publications
- jie liu, Bodhi Priyantha, Ted Hart, Heitor Ramos, Antonio A.F. Loureiro, and Qiang Wang, Energy Efficient GPS Sensing with Cloud Offloading, in 10th ACM Conference on Embedded Networked Sensor Systems (SenSys 2012), ACM, November 2012
- Heitor S. Ramos, Tao Zhang, Jie Liu, Bodhi Priyantha, and Aman Kansal, LEAP: A Low Energy Assisted GPS for Trajectory-Based Services, in 13th ACM International Conference on Ubiquitous Computing (UbiComp), ACM, 17 September 2011
