Pseudo‐3D RSSI‐based WSN localization algorithm using linear regression. Issue 9 (23rd August 2013)

• Record Type: Journal Article
• Authors: Vanheel, Frank; Verhaevert, Jo; Laermans, Eric; Moerman, Ingrid; Demeester, Piet
• Is Part Of: Wireless communications and mobile computing. Volume 15:Issue 9(2015)
• Page Start: 1342
• Page End: 1354
• Publication Date: 2013-08-23
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2416
• Languages: English
• ISSNs: 1530-8669

Abstract

<abstract abstract-type="main" id="wcm2416-abs-0001"> <title>Abstract</title> <p id="wcm2416-para-0006">Receiver Strength Signal Indication based Wireless Sensor Networks offer a cheap solution for location‐aware applications. For a final breakthrough these systems need fast deployment and easy auto‐configuration. In this study, we use the real‐life iMinds test bed to expand a two‐dimensional localization algorithm to the pseudo third dimension with very low additional computational time. Our experiments show that this fast three‐dimensional algorithm has no outliers and avoids manual calibration. Our algorithm has lower position errors than a maximum likelihood algorithm with a mean square error cost function. Furthermore, with non‐parametric statistical tests, we show that our previously designed two‐dimensional preprocessing performs equally well in pseudo‐three dimensions: the preprocessing reduces the position error in a statistically significant way.Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>