Next Article in Journal
Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes
Next Article in Special Issue
A Topology Reorganization Scheme for Reliable Communication in Underwater Wireless Sensor Networks Affected by Shadow Zones
Previous Article in Journal
A Rigorous Temperature-Dependent Stochastic Modelling and Testing for MEMS-Based Inertial Sensor Errors
Previous Article in Special Issue
Routing Protocols in Wireless Sensor Networks
Sensors 2009, 9(11), 8490-8507; doi:10.3390/s91108490

Acoustic Sensor Network for Relative Positioning of Nodes

1,2,* , 1,* , 1
1, 1
1 Electronics Department, University of Alcalá, Campus Universitario s/n, 28805, Alcalá de Henares, Madrid, Spain 2 Electronics Department, National University of Patagonia San Juan Bosco, Facultad de Ingeniería, Ciudad Universitaria, Ruta Prov. Nº 1, Km. 4, 9005 Comodoro Rivadavia, Chubut, Argentina 3 Electrical Eng., Electronics and Automatics Department, University of Extremadura, Extremadura, 06071 Badajoz, Spain
* Authors to whom correspondence should be addressed.
Received: 17 August 2009 / Revised: 21 September 2009 / Accepted: 15 October 2009 / Published: 27 October 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
View Full-Text   |   Download PDF [833 KB, uploaded 21 June 2014]   |   Browse Figures


In this work, an acoustic sensor network for a relative localization system is analyzed by reporting the accuracy achieved in the position estimation. The proposed system has been designed for those applications where objects are not restricted to a particular environment and thus one cannot depend on any external infrastructure to compute their positions. The objects are capable of computing spatial relations among themselves using only acoustic emissions as a ranging mechanism. The object positions are computed by a multidimensional scaling (MDS) technique and, afterwards, a least-square algorithm, based on the Levenberg-Marquardt algorithm (LMA), is applied to refine results. Regarding the position estimation, all the parameters involved in the computation of the temporary relations with the proposed ranging mechanism have been considered. The obtained results show that a fine-grained localization can be achieved considering a Gaussian distribution error in the proposed ranging mechanism. Furthermore, since acoustic sensors require a line-of-sight to properly work, the system has been tested by modeling the lost of this line-of-sight as a non-Gaussian error. A suitable position estimation has been achieved even if it is considered a bias of up to 25 of the line-of-sight measurements among a set of nodes.
Keywords: sensor networks; relative localization; remote sensing sensor networks; relative localization; remote sensing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

De Marziani, C.; Ureña, J.; Hernandez, Á.; Mazo, M.; García, J.J.; Jimenez, A.; Pérez Rubio, M.C.; Álvarez, F.; Villadangos, J.M. Acoustic Sensor Network for Relative Positioning of Nodes. Sensors 2009, 9, 8490-8507.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


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