Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Decentralized detection in sensor networks
IEEE Transactions on Signal Processing
Distributed random signal detection with multibit sensor decisions
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Adaptive design optimization of wireless sensor networks using genetic algorithms
Computer Networks: The International Journal of Computer and Telecommunications Networking
Decentralised sensor network performance with correlated observations
International Journal of Sensor Networks
Multi-agent-based clustering approach to wireless sensor networks
International Journal of Wireless and Mobile Computing
A memetic algorithm for optimal dynamic design of wireless sensor networks
Computer Communications
Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks
IEEE Transactions on Wireless Communications
Cooperative spectrum sensing in cognitive radios with incomplete likelihood functions
IEEE Transactions on Signal Processing
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In this paper, we address the problem of optimizing the detection performance of sensor networks under communication constraints on the common access channel. Our work helps understanding tradeoffs between sensor network para-meters like number of sensors, degree of quantization at each local sensor, and SNR. Traditionally, this problem is tack-led using asymptotic assumptions on the number of sensors, an approach that leads to the abstraction of important details such as the structure of the fusion center. We adopt a non-asymptotic approach and optimize both, the sensing and the fusion sides with respect to the probability of detection error. We show that the optimal fusion rule has an interesting structure similar to themajority-voting rule. In addition, we study the convergence with respect to the number of sensors of the performance of the fusion rule. We show that convergence is SNR dependent and that, in low-SNR environments, asymptotics may require a large number of sensors.