Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fusion in sensor networks with communication constraints
Proceedings of the 3rd international symposium on Information processing in sensor networks
Journal of Parallel and Distributed Computing
Mobile, Wireless and Sensor Networks: Technology, Applications and Future Directions
Mobile, Wireless and Sensor Networks: Technology, Applications and Future Directions
Distributed detection in a large wireless sensor network
Information Fusion
Decentralized Bayesian algorithms for active sensor networks
Information Fusion
Type-Based Decentralized Detection in Wireless Sensor Networks
IEEE Transactions on Signal Processing
Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks
IEEE Transactions on Signal Processing
Decentralized detection in sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
The decision fusion in the wireless network with possible transmission errors
Information Sciences: an International Journal
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For Wireless Sensor Networks (WSNs) with a small quantity of sensors and very low SNR, distributed detection and decision fusion rules based on multi-bit knowledge of local sensors are proposed. At local sensors, observations are quantized to multi-bit local decisions. Three quantification algorithms are investigated, which are based on weight, statistics and redundancy, respectively. Corresponding suboptimal fusion rules at the fusion center are also discussed by approximating the optimal likelihood ratio test. System level detection performance measures, namely probabilities of detection and false alarm, are derived analytically by employing probability theory. Finally, Monte Carlo methods are employed to study the performance of proposed decision fusion rules with parameters such as Rayleigh fading channel and Gaussian noise. Numerical results show that, under non-ideal channel, commonly used schemes based on weight cannot improve the system performance even with a large number and high SNR. Fortunately, schemes based on statistics and redundancy can enhance the system capability when the node is deficient and SNR is low. Furthermore, schemes based on statistics have the best stability among the three schemes, and schemes based on redundancy have the best performance among the three when quantization degree is high.