Bathtub-Shaped Failure Rate of Sensors for Distributed Detection and FusionReportar como inadecuado

Bathtub-Shaped Failure Rate of Sensors for Distributed Detection and Fusion - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Mathematical Problems in Engineering - Volume 2014 2014, Article ID 202950, 8 pages -

Research ArticleSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received 5 December 2013; Revised 28 February 2014; Accepted 3 March 2014; Published 2 April 2014

Academic Editor: Xin Wang

Copyright © 2014 Junhai Luo and Tao Li. 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.


We study distributed detection and fusion in sensor networks with bathtub-shaped failure BSF rate of the sensors which may or not send data to the Fusion Center FC. The reliability of semiconductor devices is usually represented by the failure rate curve called the “bathtub curve”, which can be divided into the three following regions: initial failure period, random failure period, and wear-out failure period. Considering the possibility of the failed sensors which still work but in a bad situation, it is unreasonable to trust the data from these sensors. Based on the above situation, we bring in new characteristics to failed sensors. Each sensor quantizes its local observation into one bit of information which is sent to the FC for overall fusion because of power, communication, and bandwidth constraints. Under this sensor failure model, the ExtensionLog-likelihood Ratio Test ELRT rule is derived. Finally, the ROC curve for this model is presented. The simulation results show that the ELRT rule improves the robust performance of the system, compared with the traditional fusion rule without considering sensor failures.

Autor: Junhai Luo and Tao Li



Documentos relacionados