Next Article in Journal
The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors
Previous Article in Journal
Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(7), 1697; https://doi.org/10.3390/s17071697

Parametric Loop Division for 3D Localization in Wireless Sensor Networks

Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
*
Author to whom correspondence should be addressed.
Received: 20 June 2017 / Revised: 17 July 2017 / Accepted: 21 July 2017 / Published: 24 July 2017
(This article belongs to the Section Sensor Networks)

Abstract

Localization in Wireless Sensor Networks (WSNs) has been an active topic for more than two decades. A variety of algorithms were proposed to improve the localization accuracy. However, they are either limited to two-dimensional (2D) space, or require specific sensor deployment for proper operations. In this paper, we proposed a three-dimensional (3D) localization scheme for WSNs based on the well-known parametric Loop division (PLD) algorithm. The proposed scheme localizes a sensor node in a region bounded by a network of anchor nodes. By iteratively shrinking that region towards its center point, the proposed scheme provides better localization accuracy as compared to existing schemes. Furthermore, it is cost-effective and independent of environmental irregularity. We provide an analytical framework for the proposed scheme and find its lower bound accuracy. Simulation results shows that the proposed algorithm provides an average localization accuracy of 0.89 m with a standard deviation of 1.2 m. View Full-Text
Keywords: parametric loop division; triangulation; centroid; range-free localization; wireless sensor networks parametric loop division; triangulation; centroid; range-free localization; wireless sensor networks
Figures

Figure 1

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. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ahmad, T.; Li, X.J.; Seet, B.-C. Parametric Loop Division for 3D Localization in Wireless Sensor Networks. Sensors 2017, 17, 1697.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top