Location Fingerprinting of Mobile Terminals by Using Wi-Fi Device  

Abstract

The increasing demand for location-aware services inside buildings has made indoor positioning a significant research topic. While the outdoor location can be easily calculated, using technologies such as GPS. The location using fingerprinting technique is consist of two different phases: the first phase is the calibration phase at specific points called calibration points within the environment, the signal strength at each point is recorded and saved in a database; the second phase is the location estimation phase where the object measures the signal strength at its current position and then, using a location estimation algorithm, the measured signal is estimated with values stored in the database in order to obtain an approximation on the user's current position. In this paper a fingerprinting based localization of mobile terminals is done by using Wi-Fi device. For this approach a data collection was made without the presence of the user near the laptop. For each calibration point, the RSS for each access point was taken and stored in the database. After collecting the data the Fingerprint Map is generated to test the chosen LEA. The chosen Location Estimation Algorithm is k-Nearest Neighbor Algorithm with Euclidean, Manhattan Distance and Chebychev Distance.  

Authors and Affiliations

Ruchi Setiya, , Prof. Avinash Gaur,

Keywords

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  • EP ID EP98946
  • DOI -
  • Views 81
  • Downloads 0

How To Cite

Ruchi Setiya, , Prof. Avinash Gaur, (2012). Location Fingerprinting of Mobile Terminals by Using Wi-Fi Device  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(4), 311-314. https://europub.co.uk/articles/-A-98946