Elements of information theory
Elements of information theory
Decentralised binary detection with non-constant SNR profile at the sensors
International Journal of Sensor Networks
Channel aware decision fusion in wireless sensor networks
IEEE Transactions on Signal Processing
Universal decentralized detection in a bandwidth-constrained sensor network
IEEE Transactions on Signal Processing - Part I
Fusion of censored decisions in wireless sensor networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Decentralised binary detection with non-constant SNR profile at the sensors
International Journal of Sensor Networks
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
A comparative simulation study of rate adaptation algorithms in wireless LANs
International Journal of Sensor Networks
International Journal of Communication Networks and Distributed Systems
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In this paper, we consider the problem of decentralised binary detection in sensor networks characterised by non-constant observation Signal-to-Noise Ratios (SNRs) at the sensors. In general, SNRs at the sensors could have a generic non-constant distribution. In order to analyse the performance of these decentralised detection schemes, we introduce the concept of sensor SNR profile, and we consider four possible profiles (linear, quadratic, cubic and hyperbolic) as representative of a large number of realistic scenarios. Furthermore, we show how the impact of communication noise in the links between the sensors and the Access Point (AP) depends on the sensor SNR profile (i.e. the spatial distribution of the observation noise). More precisely, different sensor SNR profiles are compared under two alternative assumptions: (i) common maximum sensor SNR or (ii) common average sensor SNR. Finally, we propose an asymptotic (for a large number of sensors) performance analysis, deriving a simple expression for the limiting probability of decision error. We validate our theoretical analysis with experimental results.