Censored distributed space-time coding for wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Decentralised binary detection with non-constant SNR profile at the sensors
International Journal of Sensor Networks
Channel aware target localization with quantized data in wireless sensor networks
IEEE Transactions on Signal Processing
Tracking in wireless sensor networks using particle filtering: physical layer considerations
IEEE Transactions on Signal Processing
PAC vs. MAC for decentralized detection using noncoherent modulation
IEEE Transactions on Signal Processing
A cooperative double-threshold energy detection algorithm in cognitive radio systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Multiple-symbol differential decision fusion for mobile wireless sensor networks
IEEE Transactions on Wireless Communications
Multiple-symbol differential decision fusion for mobile wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Coherent max-log decision fusion in wireless sensor networks
IEEE Transactions on Communications
Analytical performance of collaborative spectrum sensing using censored energy detection
IEEE Transactions on Wireless Communications
The decision fusion in the wireless network with possible transmission errors
Information Sciences: an International Journal
Performance analysis of different types of sensor networks for cognitive radios
Journal of Electrical and Computer Engineering
Optimized Reliable Data Combining Cooperative Spectrum Sensing Method in Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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Sensor censoring has been introduced for reduced communication rate in a decentralized detection system where decisions made at peripheral nodes need to be communicated to a fusion center. In this letter, the fusion of decisions from censoring sensors transmitted over wireless fading channels is investigated. The knowledge of fading channels, either in the form of instantaneous channel envelopes or the fading statistics, is integrated in the optimum and suboptimum fusion rule design. The sensor censoring and the ensuing fusion rule design have two major advantages compared with the previous work. 1) Communication overhead is dramatically reduced. 2) It allows incoherent detection, hence, the phase information of transmission channels is no longer required. As such, it is particularly suitable for wireless sensor network applications with severe resource constraints.