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| DOI | 10.1016/J.CONENGPRAC.2017.01.006 | ||||
| Año | 2017 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Time synchronization has proven to be critical in sensor fusion applications where the time of arrival is utilized as a decision variable. Herein, the application of pulse-coupled synchronization to an acoustic event detection system based on a wireless sensor network is presented. The aim of the system is to locate the source of acoustic events utilizing time of arrival measurements for different formations of the sensor network. A distributed localization algorithm is introduced that solves the problem locally using only a subset of the time of arrival measurements and then fuses the local guesses using averaging consensus techniques. It is shown that the pulse-coupled strategy provides the system with the proper level of synchronization needed to enable accurate localization, even when there exists drift between the internal clocks and the formation is not perfectly maintained. Moreover, the distributed nature of pulse-coupled synchronization allows coordinated synchronization and distributed localization over an infrastructure-free ad-hoc network.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | NUNEZ-RETAMAL, FELIPE | Hombre |
Pontificia Universidad Católica de Chile - Chile
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| 2 | Wang, Yongqiang | - |
Clemson Univ - Estados Unidos
Clemson University - Estados Unidos |
| 3 | Grasing, David | Hombre |
US Army RDECOM ARDEC - Estados Unidos
U.S. Army Armament Research and Development Center - Estados Unidos |
| 4 | Desai, Sachi | Mujer |
US Army RDECOM ARDEC - Estados Unidos
U.S. Army Armament Research and Development Center - Estados Unidos |
| 5 | Cakiades, George | Hombre |
US Army RDECOM ARDEC - Estados Unidos
U.S. Army Armament Research and Development Center - Estados Unidos |
| 6 | Doyle III, Francis J. | Hombre |
Harvard University - Estados Unidos
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| Agradecimiento |
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| The authors would like to thank Scalable Networks, Inc. for providing access to QualnetTM. This work was supported in part by CONICYT under the FONDECYT 1161039 grant: "Distributed Multi Agent Control for the Internet of Things", and by the Institute for Collaborative Biotechnologies under grant W911NF-09-D-0001. The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. |