Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

12-2014

Abstract

Due to the rapid growth of the smartphone applications and the fast development of the Wireless Local Area Networks (WLANs), numerous indoor location-based techniques have been proposed during the past several decades. Floorplan, which defines the structure and functionality of a specific indoor environment, becomes a hot topic nowadays. Conventional floorplan techniques leverage smartphone sensors combined with WiFi signals to construct the floorplan of a building. However, existing approaches with sensors cannot detect the shape of a corner, and the sensors cost huge amount of energy during the whole floorplan constructing process. In this paper, we propose a sensor-free approach to detect the shape of a certain corner leveraging WiFi signals without using sensors on smartphones. Instead of utilizing traditional wireless communication indicator Received Signal Strength (RSS), we leverage a finer-grained indicator Channel State Information (CSI) to detect the shape of a certain corner. The evaluation of our approach shows that CSI is more robust in sensor-free corner shape detection, and we have achieved over 85% detection accuracy in simulation and over 70% detection accuracy in real indoor experiments.

Keywords

Wireless, Channel State Information, Smartphone, Localization, Floorplan

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, Hsinchu, Taiwan, 2014 December 16-19

First Page

1

Last Page

7

ISBN

9781479976157

Identifier

10.1109/PADSW.2014.7097822

Publisher

IEEE

City or Country

Hsinchu, Taiwan

Additional URL

https://doi.org/10.1109/PADSW.2014.7097822

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