Decentralized detection in wireless sensor networks with channel fading statistics

Authors:
Bin Liu;Biao Chen
Affiliations:
Department of Electrical Engineering and Computer Science (EECS), Syracuse University, Syracuse, NY;Department of Electrical Engineering and Computer Science (EECS), Syracuse University, Syracuse, NY
Venue:
EURASIP Journal on Wireless Communications and Networking
Year:
2007

Citing 5
Cited 1

Distributed Detection and Data Fusion

Distributed Detection and Data Fusion
The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise

IEEE Transactions on Signal Processing
On the optimality of the likelihood-ratio test for local sensor decision rules in the presence of nonideal channels

IEEE Transactions on Information Theory
Comments on "On the optimality of the likelihood-ratio test for local sensor decision rules in the presence of nonideal channels"

IEEE Transactions on Information Theory
Channel-optimized quantizers for decentralized detection in sensor networks

IEEE Transactions on Information Theory

Performance analysis of different types of sensor networks for cognitive radios

Journal of Electrical and Computer Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Existing channel aware signal processing design for decentralized detection in wireless sensor networks typically assumes the claivoyant case, that is, global channel state information (CSI) is known at the design stage. In this paper, we consider the distributed detection problem where only the channel fading statistics, instead of the instantaneous CSI, are available to the designer. We investigate the design of local decision rules for the following two cases: (1) fusion center has access to the instantaneous CSI; (2) fusion center does not have access to the instantaneous CSI. As expected, in both cases, the optimal local decision rules that minimize the error probability at the fusion center amount to a likelihood ratio test (LRT). Numerical analysis reveals that the detection performance appears to be more sensitive to the knowledge of CSI at the fusion center. The proposed design framework that utilizes only partial channel knowledge will enable distributed design of a decentralized detection wireless sensor system.