Table of Contents
ISRN Sensor Networks
Volume 2012, Article ID 430169, 7 pages
http://dx.doi.org/10.5402/2012/430169
Research Article

Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks

Department of Electronics, University of Pavia, Via Ferrata, 1–27100 Pavia, Italy

Received 18 May 2012; Accepted 11 July 2012

Academic Editors: R. Morais and Y. Yu

Copyright © 2012 S. Kianoush 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

Localization in Wireless Sensor Networks (WSNs) is an important research topic: readings come from sensors scattered in the environment, and most of applications assume that the exact position of the sensors is known. Due to power restrictions, WSN nodes are not usually equipped with a global positioning system—hence, many techniques have been developed in order to estimate the position of nodes according to some measurements over the radio channel. In this paper, we propose a new technique to track a moving target by combining distance measurements obtained from both narrowband IEEE 802.15.4 and Ultrawideband (UWB) radios, and then exploiting a novel speed-based algorithm for bounding the error. This process is applied to a real dataset collected during a measurement campaign, and its performance is compared against a Kalman filter. Results show that our algorithm is able to track target path with good accuracy and low computational impact.