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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Proceedings ArticleDOI
Intended inference lenient Secure Spectrum Sensing by prominence state verification
TL;DR: The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) was devised to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks.
Proceedings ArticleDOI
Agent-based Channel Selection scheme against location inference attack in cognitive radio networks
Hongning Li,Qingqi Pei,Yao Liu +2 more
TL;DR: The proposed Agent-based Channel Selection scheme can decrease the probability of being geo-located for SUs effectively and the variation tendency of the average probability of geo-location with different factors is shown in simulation.
Book ChapterDOI
Base Station Controlled Spectrum Allocation Technique to Detect the PUE Attack in CWSN
TL;DR: A base station controlled spectrum allocation protocol for the secondary users to deal with PUE attacks in CWSNs and has used the well-known lightweight hash function SHA-1 for the authentication process of a secondary user to the base station.
Journal ArticleDOI
Incremental voting based spectrum sensing model for cognitive radio networks
TL;DR: A frameork for cooperative SUs is presented, which have to decide about the presence or absence of the PU in target spectrum, and it is observed that it outperforms different commonly used routing scheme.
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.