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
Distributed target detection in sensor networks using scan statistics
IEEE Transactions on Signal Processing
Minimizing effective energy consumption in multi-cluster sensor networks for source extraction
IEEE Transactions on Wireless Communications
Detection using intermittent observations for passive wireless sensors
ACC'09 Proceedings of the 2009 conference on American Control Conference
An efficient multibit aggregation scheme for multihop wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Multiple-symbol differential decision fusion for mobile wireless sensor networks
IEEE Transactions on Wireless Communications
Decision fusion rules over Rician fading channel for wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Channel-aware decision fusion with unknown local sensor detection probability
IEEE Transactions on Signal Processing
Multiple-symbol differential decision fusion for mobile wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Fusion of decisions modeled as weak signals in wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Cooperative spectrum sensing with noisy hard decision transmissions
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Estimation over fading channels with limited feedback using distributed sensing
IEEE Transactions on Signal Processing
Cooperative spectrum sensing in cognitive radios with incomplete likelihood functions
IEEE Transactions on Signal Processing
Coherent max-log decision fusion in wireless sensor networks
IEEE Transactions on Communications
On learning for fusion over fading channels in wireless sensor networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Blind Adaptive Weighted Aggregation Scheme for Event Detection in Multihop Wireless Sensor Networks
Wireless Personal Communications: An International Journal
The decision fusion in the wireless network with possible transmission errors
Information Sciences: an International Journal
Data fusion of multi-sensor for IOT precise measurement based on improved PSO algorithms
Computers & Mathematics with Applications
Wireless Personal Communications: An International Journal
International Journal of Communication Networks and Distributed Systems
Energy aware based fault tolerance approach for topology control in distributed sensor networks
Journal of High Speed Networks
| Hi-index | 35.71 |
Information fusion by utilizing multiple distributed sensors is studied in this work. Extending the classical parallel fusion structure by incorporating the fading channel layer that is omnipresent in wireless sensor networks, we derive the likelihood ratio based fusion rule given fixed local decision devices. This optimum fusion rule, however, requires perfect knowledge of the local decision performance indices as well as the fading channel. To address this issue, two alternative fusion schemes, namely, the maximum ratio combining statistic and a two-stage approach using the Chair-Varshney fusion rule, are proposed that alleviate these requirements and are shown to be the low and high signal-to-noise ratio (SNR) equivalents of the likelihood-based fusion rule. To further robustify the fusion rule and motivated by the maximum ratio combining statistics, we also propose a statistic analogous to an equal gain combiner that requires minimum a priori information. Performance evaluation is performed both analytically and through simulation.