Title :
Decision Fusion With Unknown Sensor Detection Probability
Author :
Ciuonzo, Domenico ; Salvo Rossi, Pierluigi
Author_Institution :
Dept. of Ind. & Inf. Eng., Second Univ. of Naples, Naples, Italy
Abstract :
In this letter we study the problem of channel-aware decision fusion when the sensor detection probability is not known at the decision fusion center. Several alternatives proposed in the literature are compared and new fusion rules (namely “ideal sensors” and “locally-optimum detection”) are proposed, showing attractive performance and linear complexity. Simulations are provided to compare the performance of the aforementioned rules.
Keywords :
probability; sensor fusion; wireless sensor networks; channel-aware decision fusion; decision fusion center; ideal sensors; linear complexity; locally-optimum detection; unknown sensor detection probability; Complexity theory; Maximum likelihood estimation; Probability density function; Sensors; Signal to noise ratio; Wireless communication; Wireless sensor networks; Decentralized detection; decision fusion; locally-optimum detection (LOD); wireless sensor networks (WSNs);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2295054
