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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 529489, 10 pages
http://dx.doi.org/10.1155/2013/529489
Research Article

ALRD: AoA Localization with RSSI Differences of Directional Antennas for Wireless Sensor Networks

Department of Computer Science and Information Engineering, National Central University, Jhongli 32001, Taiwan

Received 30 September 2012; Revised 22 January 2013; Accepted 1 February 2013

Academic Editor: Chengdong Wu

Copyright © 2013 Jehn-Ruey Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, we fit RSSI values into a parabola function of the AoA between 0° and 90° by applying quadratic regression analysis. We also set up two-directional antennas with perpendicular orientations at the same position and fit the difference of the signal RSSI values of the two antennas into a linear function of the AoA between 0° and 90° by linear regression analysis. Based on the RSSI-fitting functions, we propose a novel localization scheme, called AoA Localization with RSSI Differences (ALRD), for a sensor node to quickly estimate its location with the help of two beacon nodes, each of which consists of two perpendicularly orientated directional antennas. We apply ALRD to a WSN in a  m indoor area with two beacon nodes installed at two corners of the area. Our experiments demonstrate that the average localization error is 124 cm. We further propose two methods, named maximum-point minimum-diameter and maximum-point minimum-rectangle, to reduce localization errors by gathering more beacon signals within 1 s for finding the set of estimated locations of maximum density. Our results demonstrate that the two methods can reduce the average localization error by a factor of about 29%, to 89 cm.