Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem

Yungeun Kim, Hyojeong Shin, Hojung Cha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Citations (Scopus)

Abstract

The Wi-Fi fingerprinting (WF) technique normally suffers from the RSS (Received Signal Strength) variance problem caused by environmental changes that are inherent in both the training and localization phases. Several calibration algorithms have been proposed but they only focus on the hardware variance problem. Moreover, smartphones were not evaluated and these are now widely used in WF systems. In this paper, we analyze various aspect of the RSS variance problem when using smartphones for WF: device type, device placement, user direction, and environmental changes over time. To overcome the RSS variance problem, we also propose a smartphone-based, indoor pedestrian-tracking system. The scheme uses the location where the maximum RSS is observed, which is preserved even though RSS varies significantly. We experimentally validate that the proposed system is robust to the RSS variance problem.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
Pages11-19
Number of pages9
DOIs
Publication statusPublished - 2012 Jun 4
Event10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 - Lugano, Switzerland
Duration: 2012 Mar 192012 Mar 23

Publication series

Name2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012

Other

Other10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
CountrySwitzerland
CityLugano
Period12/3/1912/3/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Kim, Y., Shin, H., & Cha, H. (2012). Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem. In 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 (pp. 11-19). [6199844] (2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012). https://doi.org/10.1109/PerCom.2012.6199844