An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Decentralized detection in sensor networks
IEEE Transactions on Signal Processing
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Achievable Rates and Scaling Laws of Power-Constrained Wireless Sensory Relay Networks
IEEE Transactions on Information Theory
How Dense Should a Sensor Network Be for Detection With Correlated Observations?
IEEE Transactions on Information Theory
IEEE Communications Magazine
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Cooperative routing for distributed detection in large sensor networks
IEEE Journal on Selected Areas in Communications
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In this paper, a binary hypothesis distributed detection problem in correlated wireless sensor networks with cooperative relays deployment is considered. In particular, the effect of correlation between sensor nodes is modeled and analyzed in Rayleigh flat fading channels in order to explore the natural tradeoffs between the number of sensor/relay nodes and the detection error performance in the network. Specifically, two communication protocols are utilized; in Protocol I, each sensor node communicates its observation directly to the fusion center while in Protocol II, Amplify-and-Forward (AF) cooperative relays are deployed and a fewer number of sensors is used. Based on the theoretical analysis and simulations, it is revealed that employing less sensor nodes and instead deploying relay nodes results in significant performance gains under strict network power constraint. It is concluded that with cooperative distributed detection and exploitation of spatial diversity, better detection error performance is achieved as well as reduction in the required number of sensor nodes.