Enhancing cooperative spectrum sensing in cognitive radio ad hoc networks using priority-based two-stage detection model

Muthukkumar, Rajendran; Manimegalai, D.

doi:10.1007/s11276-017-1536-8

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…The proposed Component-Specific CSS Model (CSCSSM) was implemented in MATLAB. The CSCSSM was compared to the Priority-Based Two-Stage Detection Model (PBTSDM) [ 24 ], Spectrum Binary Particle Swarm Optimization and Queuing Model (SpecBPSO-QM) [ 28 ], Optimum Relay Selection and Accurate Cooperative Spectrum Sensing for Hybrid Cognitive Radio Networks (ORS-ACSS) [ 29 ], and Adapt-Then-Combine (ATC) method [ 35 ]. The CSCSSM and the compared methods were analyzed in terms of Network MSD (dB) by varying the time ( i ).…”

Section: Resultsmentioning

confidence: 99%

“…In 2018, Muthukkumar and Manimegalai [ 24 ] examined the collaboration between secondary users (SUs) and main users using the Priority-Based Two-Stage Detection Model (PBTSDM). SUs in distributed CSS continually sensed among themselves and used an entropy-based energy detection approach to jointly determine whether or not PUs were present.…”

Section: Literature Reviewmentioning

confidence: 99%

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Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks

Vaduganathan,

Neware,

Falkowski-Gilski

et al. 2023

Entropy

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The rapid advancement of wireless communication combined with insufficient spectrum exploitation opens the door for the expansion of novel wireless services. Cognitive radio network (CRN) technology makes it possible to periodically access the open spectrum bands, which in turn improves the effectiveness of CRNs. Spectrum sensing (SS), which allows unauthorized users to locate open spectrum bands, plays a fundamental part in CRNs. A precise approximation of the power spectrum is essential to accomplish this. On the assumption that each SU’s parameter vector contains some globally and partially shared parameters, spectrum sensing is viewed as a parameter estimation issue. Distributed and cooperative spectrum sensing (CSS) is a key component of this concept. This work introduces a new component-specific cooperative spectrum sensing model (CSCSSM) in CRNs considering the amplitude and phase components of the input signal including Component Specific Adaptive Estimation (CSAE) for mean squared deviation (MSD) formulation. The proposed concept ensures minimum information loss compared to the traditional methods that consider error calculation among the direct signal vectors. The experimental results and performance analysis prove the robustness and efficiency of the proposed work over the traditional methods.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks

Vaduganathan,

Neware,

Falkowski-Gilski

et al. 2023

Entropy

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“…CSS exploiting spatial diversity via the observations of spatially located SUs provides improved detection for the PU. Not only that, Muthukkumar and Manimegalai employed a distributed dynamic load-balanced clustering (DDLBC) scheme in [3] to reveal the grouping of member nodes (MNs) into some clusters to minimise energy consumption and increase the sensing capability of CSS in CR ad-hoc networks, and further used the priority-based two-stage detection model (PBTSDM) in [4] to analyse the cooperation strategy among SUs and PUs. However, the open nature of the CR system makes CSS suffer from many types of security threats.…”

Section: Introductionmentioning

confidence: 99%