Title :
Sensor fusion enhancement via optimized stochastic resonance at local sensors
Author :
Bin Liu ; Iyengar, Sudarshan ; Hao Chen ; Michels, J.H. ; Varshney, Pramod K.
Author_Institution :
JHM Technol. LLC, Ithaca
Abstract :
This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form of the stochastic resonance probability mass density for the decentralized sensor fusion problem retains the same form as that previously developed for the single sensor case.
Keywords :
Rayleigh channels; sensor fusion; wireless sensor networks; Rayleigh fading channels; decentralized fusion problem; local sensor detection; optimized stochastic resonance; sensor fusion enhancement; stochastic resonance methodology; wireless sensor network; Detectors; Fading; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing; Stochastic resonance; Strontium; System testing; Wireless sensor networks; Rayleigh fading channels; Sensor fusion; decentralized detection; stochastic resonance;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408142