Energy-efficient WiFi scanning for localization

  title={Energy-efficient WiFi scanning for localization},
  author={Taehwa Choi and Yohan Chon and Hojung Cha},
  journal={Pervasive Mob. Comput.},
Abstract WiFi radio signals are commonly used for the localization of mobile devices. [...] Key Method We predict the number of scanned access points (APs) according to locations and optimize the dwell time of beacon-listening to obtain the minimum number of scanned APs. The evaluation shows that the proposed system saves the energy consumption of WiFi scans by 33.6% and 45.7%, according to the number of scanned APs, while not decreasing the accuracy of localization in indoor and outdoor scenarios.Expand
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WiFisense is presented, a system that employs user mobility information retrieved from low-power sensors in smartphones, and further includes adaptive Wi-Fi sensing algorithms, to conserve battery power while improvingWi-Fi usage. Expand
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The results show that there is possibility to simplify the radio maps of the positioning engines without significant degradation on the positioning precision and accuracy, and therefore to reduce the processing time for estimating the position of a tracked WiFi tag. Expand
SwiftScan: Efficient Wi-Fi scanning for background location-based services
  • R. Faragher, A. Rice
  • Engineering, Computer Science
  • 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
  • 2015
SwiftScan is described and validated, an intelligent, self-training Wi-Fi fingerprinting scheme that reduces the energy consumption of periodic backgroundWi-Fi scanning for localisation purposes and shows that energy savings of over 90% are possible. Expand
Detecting and correcting WiFi positioning errors
This paper designs a context-aware error detection method by employing an ensemble of predictors that have different strengths and weaknesses, and attempts to detect and correct errors caused by outlier detection in time series. Expand
SAIL: single access point-based indoor localization
SAIL systematically addresses some of the common challenges towards dead-reckoning using smartphone sensors and achieves 2-5x accuracy improvements over existing techniques. Expand
Power-efficient access-point selection for indoor location estimation
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On the RBF-based positioning using WLAN signal strength fingerprints
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RADAR: an in-building RF-based user location and tracking system
  • P. Bahl, V. Padmanabhan
  • Computer Science
  • Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064)
  • 2000
RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications. Expand