Name
Abstract | ||
|---|---|---|
Location is a fundamental service for mobile computing. Typical GPS receivers, although widely available for navigation purposes, may consume too much energy to be useful for many applications. Observing that in many sensing scenarios, the location information can be post-processed when the data is uploaded to a server, we design a cloud-offloaded GPS (CO-GPS) solution that allows a sensing device to aggressively duty-cycle its GPS receiver and log just enough raw GPS signal for post-processing. Leveraging publicly available information such as GNSS satellite ephemeris and an Earth elevation database, a cloud service can derive good quality GPS locations from a few milliseconds of raw data. Using our design of a portable sensing device platform called CLEON, we evaluate the accuracy and efficiency of the solution. Compared to more than 30 seconds of heavy signal processing on standalone GPS receivers, we can achieve three orders of magnitude lower energy consumption per location tagging. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMC.2015.2446461 | IEEE Trans. Mob. Comput. |
Keywords | Field | DocType |
Satellites,Global Positioning System,Receivers,Mobile computing,Earth,Sensors,Synchronization | Secure User Plane Location,Computer science,GPS tracking server,Computer network,Time to first fix,Real-time computing,Global Positioning System,Assisted GPS,GPS disciplined oscillator,Precision Lightweight GPS Receiver,U-TDOA,Embedded system | Journal |
Volume | Issue | ISSN |
15 | 6 | 1536-1233 |
Citations | PageRank | References |
2 | 0.66 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Liu | 1 | 1419 | 116.47 |
| Bodhi Priyantha | 2 | 821 | 45.95 |
| Ted Hart | 3 | 26 | 2.04 |
| Yuzhe Jin | 4 | 150 | 10.15 |
| Woo Suk Lee | 5 | 51 | 4.55 |
| Vijay Raghunathan | 6 | 1932 | 170.13 |
| Heitor Ramos | 7 | 196 | 18.09 |
| Qiang Wang | 8 | 601 | 84.65 |