Energy-accuracy trade-off for continuous mobile device location

By Kaisen Lin, Aman Kansal, Dimitrios Lymberopoulos, Feng Zhao. 2010

320 citations recorded by the source corpus.

Subfields: Computer Science Applications, Electrical and Electronic Engineering, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Min Chen
2. Yunhao Liu
3. C. Laoudias

In Electrical and Electronic Engineering

1. Yunhao Liu
2. Billy Pik Lik Lau
3. U-Xuan Tan
4. Yuren Zhou
5. Meng Zhang
6. Naveed Ul L. Hassan
7. Marakkalage Sumudu Hasala
8. Min Chen

In Transportation

1. Chau Yuen
2. Billy Pik Lik Lau
3. Sasu Tarkoma
4. Yunhao Liu
5. U-Xuan Tan

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Less-accurate non-GPS positioning approaches, such as wifi-based localization and cell-tower triangulation, are sometimes used instead of (or together with) GPS, because they consume less energy [132], [133].”
• Carat: collaborative energy diagnosis for mobile devices (2013, background): “Many projects have sought to profile or emulate energy use on mobile devices [10, 11, 23, 29, 30, 32, 44], sometimes for prediction [37, 40], mitigation [3, 18], diagnosis [21], or developer tools [15].”
• Crowdsourcing with Smartphones (2012, methodology): “According to the power measurements o f Table 2 and the above background information one can rank the methods from best to worse as follows [14], [2]:”
• Wearable Environmental Sensors and Infrastructure for Mobile Large-Scale Urban Deployment (2016, methodology): “To put this energy consumption in perspective, WiFi localization is described to consume less than 15% of energy consumed by GPS [6].”
• Understanding Urban Human Mobility through Crowdsensed Data (2018, background): “Compared with GPS, SWFAPRs have lower localization accuracy, but a WiFi scan only consumes around 15 percent of the energy consumed by a GPS location fix [5].”
• A Survey of Green Mobile Networks: Opportunities and Challenges (2011, methodology): “Furthermore, based on two investigations that mobile services always do not require high-precision accuracy in practice, and the required localization accuracy normally varies with LBS environment, A-Loc [ 72 ] automatically determines the accuracy requirement for specific mobile applications, and c”