ALRD: AoA localization with RSSI differences of directional antennas for wireless sensor networks

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106216

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106216

Title:	ALRD: AoA localization with RSSI differences of directional antennas for wireless sensor networks
Authors:	黃興燦;Jiang, Jehn-Ruey;Lin, Chih-Ming;Lin, Feng-Yi;Huang, Shing-Tsaan
Contributors:	資訊電機學院資訊工程學系
Keywords:	Antennas;Beacons;Density;Directional antennas;Errors;Localization;Position (location);Regression analysis
Date:	2013-04-29
Issue Date:	2026-04-23 13:13:54 (UTC+8)
Publisher:	SAGE Publications Inc.;London, England: SAGE Publications
Abstract:	摘要： 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 10×10 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. 出版者： London, England: SAGE Publications 出版日期： 2013-01-01 出處： International journal of distributed sensor networks, 2013-01, Vol.9 (3), p.529489 資源來源： Sage Journals GOLD Open Access 2024 版權： 2013 Jehn-Ruey Jiang et al. 識別號： ISSN: 1550-1477 識別號： ISSN: 1550-1329 識別號： EISSN: 1550-1477 識別號： DOI: 10.1155/2013/529489
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	12	View/Open

社群 sharing

Loading...