2016
DOI: 10.1109/tmc.2015.2446461
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CO-GPS: Energy Efficient GPS Sensing with Cloud Offloading

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 pub… Show more

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Cited by 27 publications
(7 citation statements)
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“…GPS and wireless positioning. Recent efforts [29,32,38] have attempted to improve the performance of GPS positioning. CO-GPS [29] designs a cloud-offloaded GPS solution to save energy for portable sensing devices.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…GPS and wireless positioning. Recent efforts [29,32,38] have attempted to improve the performance of GPS positioning. CO-GPS [29] designs a cloud-offloaded GPS solution to save energy for portable sensing devices.…”
Section: Related Workmentioning
confidence: 99%
“…While recent advances [4,50,51] use tunnel diodes to extend the coverage of backscatter communications, their sensitivity is still limited to around -90 dBm. On the other hand, existing GPS positioning algorithms [29,38] are no longer applicable in our scenarios since they do not consider the extra reflection paths created by backscatter tags.…”
Section: Introductionmentioning
confidence: 99%
“…For instance in [17], the authors present the energy performance of commercial GNSS modules and propose energy-aware software scheduling algorithms to allow accurate trajectory tracking with increased energy efficiency. With the same goal in mind, the authors in [18] propose a solution where the GNSS data processing is offloaded in the cloud. However, this solution pays the improvement of energy efficiency with a low quality of service and high latency, plus the requirement of an Internet connection.…”
Section: Related Workmentioning
confidence: 99%
“…They show that the energy consumption can be reduced 5-10 times than a standalone GPS, with a median positioning accuracy of 40 m. Liu et al design a cloud-offloaded GPS (CO-GPS) solution that allows a sensing device such as a mobile phone to duty-cycle its GPS receiver and log just a few milliseconds of raw GPS signal for post-processing. The position information is extracted later on a back-end server [14]. A novel multi-step algorithm for low-energy positioning using GPS is proposed by Orn et al [18].…”
Section: Related Workmentioning
confidence: 99%