Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

9-2006

Abstract

With the rapid development and wide deployment of wireless Local Area Networks (WLANs), WLAN-based positioning system employing signal-strength-based technique has become an attractive solution for location estimation in indoor environment. In recent years, a number of such systems has been presented, and most of the systems use the common Nearest Neighbor in Signal Space (NNSS) algorithm. In this paper, we propose an enhancement to the NNSS algorithm. We analyze the enhancement to show its effectiveness. The performance of the enhanced NNSS algorithm is evaluated with different values of the parameters. Based on the performance evaluation and analysis, we recommend some guidelines on optimizing the parameters of our proposed enhanced algorithm.

Keywords

Nearest neighbor searches, Wireless LAN, Indoor environments, Phase estimation, Space technology, Performance analysis, Algorithm design and analysis, Guidelines, Global Positioning System, Databases

Discipline

Databases and Information Systems | Theory and Algorithms

Research Areas

Data Science and Engineering

Publication

Proceedings of the 64th IEEE Vehicular Technology Conference (VTC-2006), Montreal, Canada, September 25-28

First Page

1

Last Page

5

ISBN

1090-3038

Identifier

10.1109/VTCF.2006.489

Publisher

IEEE

City or Country

Montreal, QC, Canada

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