Title :
A robust fusion rule using Piece-Wise Linear function in wireless sensor networks
Author :
Park, Jintae ; Kim, Eunchan ; Kim, Kiseon ; Kim, Gi-Sung
Author_Institution :
Sch. of Inf. & Mechatron., GIST, Gwangju, South Korea
Abstract :
The problem of decision fusion in wireless sensor networks is investigated in this paper. Based on the parallel fusion model under fading and the noise channels of the generalized Gaussian and the Cauchy models, we develop a robust fusion rule. By utilizing high and low signal-to-noise ratio (SNR) approximations, we obtain both high and low SNR alternatives respectively to the optimum likelihood ratio based fusion statistic for both noise models. To overcome the near-optimality of both alternatives for only limited ranges of SNR values, we propose the piece-wise linear fusion statistic (PWL-FS) that combines both high and low SNR results by using a piece-wise linear function. Performance evaluation is performed through Monte Carlo simulations.
Keywords :
Gaussian processes; Monte Carlo methods; piecewise linear techniques; wireless sensor networks; Cauchy models; Gaussian models; Mote Carlo simulations; decision fusion; optimum likelihood ratio; parallel fusion model; piece-wise linear function; piece-wise linear fusion statistic; robust fusion rule; signal-to-noise ratio approximations; wireless sensor networks; Fading; Gaussian noise; Mechatronics; Noise robustness; Piecewise linear techniques; Sensor fusion; Sensor phenomena and characterization; Signal to noise ratio; Statistics; Wireless sensor networks;
Conference_Titel :
Sensors, 2009 IEEE
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4548-6
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2009.5398305