Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Secure positioning in wireless networks
IEEE Journal on Selected Areas in Communications
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Distributed Spectrum Sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. The data fusion technique is a key component of DSS. We discuss the Byzantine Failure problem in the context of data fusion, which may be caused by either malfunctioning sensing terminals or Spectrum Sensing Data Falsification (SSDF) attacks. In either case, incorrect spectrum sensing data is reported to a data collector which can lead to the distortion of data fusion outputs. We investigate various data fusion techniques, focusing on their robustness against Byzantine Failures. In contrast to existing data fusion techniques that use a fixed number of samples, we propose a new technique that uses a variable number of samples. The proposed technique, which we call Weighted Sequential Probability Ratio Test (WSPRT), introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT). We evaluate WSPRT by comparing it with a variety of data fusion techniques under various conditions. We also discuss practical issues that need to be considered when applying the fusion techniques to CR networks. Our simulation results indicate that WSPRT is the most robust against Byzantine Failures among the data fusion techniques that were considered.