Proceedings ArticleDOI
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
Ruiliang Chen,Jung-Min Park,Kaigui Bian +2 more
- pp 1876-1884
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TLDR
This work proposes a new data fusion technique that uses a variable number of samples, and introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT), which is evaluated by comparing it with a variety of data fusion techniques under various network operating conditions.Abstract:
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 will be 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 network operating conditions. Our simulation results indicate that WSPRT is the most robust against the Byzantine failure problem among the data fusion techniques that were considered.read more
Citations
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Journal ArticleDOI
Optimizing Voting Rule for Cooperative Spectrum Sensing Through Learning Automata
TL;DR: A learning automata-based algorithm is proposed to derive the optimal voting rule for decision fusion in cooperative spectrum sensing and it is shown that the proposed algorithm generally does not need to run many times and can work at a low cost in practice.
Journal ArticleDOI
Malicious User Detection Based on Low-Rank Matrix Completion in Wideband Spectrum Sensing
TL;DR: A framework with high detection accuracy and low costs of data acquisition at SUs is developed, with the purpose of mitigating the influences of malicious users.
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Cooperative detection of primary user emulation attacks in CRNs
TL;DR: A cooperative localization method specifically suited to CRNs which relies on TDoA measurements and Taylor-series estimations is proposed and results show the goodness of the proposed method and its suitability to typical CRN scenarios.
Proceedings ArticleDOI
Optimization of Cooperative Spectrum Sensing in Ad-Hoc Cognitive Radio Networks
TL;DR: The optimal sensing performance problem is formulated as a nonlinear binary integer programming problem to find suitable cooperative nodes minimizing the average detection Bayesian risk and the binary particle swarm optimization (BPSO) algorithm is adopted to obtain suboptimal solutions to cooperative nodes.
Journal ArticleDOI
Designing evolvable systems in a framework of robust, resilient and sustainable engineering analysis
TL;DR: The goal is to analyze a few examples of system designs across engineering disciplines to explicate a common framework for designing and testing artificial systems, and emphasizes the importance of Resilience as an adaptive capability that integrates Sustainability and Robustness to achieve Evolvability.
References
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Book
Wireless Communications: Principles and Practice
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
Journal ArticleDOI
Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Proceedings ArticleDOI
Implementation issues in spectrum sensing for cognitive radios
TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Proceedings ArticleDOI
Collaborative spectrum sensing for opportunistic access in fading environments
Amir Ghasemi,Elvino S. Sousa +1 more
TL;DR: This paper studies spectrum-sharing between a primary licensee and a group of secondary users and suggests that collaboration may improve sensing performance significantly.