On Selection of Parameters for Cooperative Spectrum Sensing Schemes over<i>κ</i>–<i>μ</i>Fading Channels

Nallagonda, Srinivas; Bhowmick, Abhijit; Prasad, Binod

doi:10.1080/03772063.2022.2038700

Cited by 8 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, Q f and Q m represent the global false alarm probability and miss detection probability, respectively. 40 Following the global CSS performance metric, the achievable throughput expression can be obtained by. 37…”

Section: Simulation Resultsmentioning

confidence: 99%

Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks

Wu,

Dai,

Teng

et al. 2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Cooperative spectrum sensing (CSS) has emerged as a promising strategy for identifying available spectrum resources by leveraging spatially distributed sensors in cognitive wireless sensor networks (CWSNs). Nevertheless, this open collaborative approach is susceptible to security threats posed by malicious sensors, specifically Byzantine attack, which can significantly undermine CSS accuracy. Moreover, in extensive CWSNs, the CSS process imposes substantial communication overhead on the reporting channel, thereby considerably diminishing cooperative efficiency. To tackle these challenges, this article introduces a refined CSS approach, termed weighted sequential detection (WSD). This method incorporates channel state information to validate the global decision made by the fusion center and assess the trust value of sensors. The trust value based weight is assigned to sensing samples, which are then integrated into a sequential detection framework within a defined time window. This sequential approach prioritizes samples based on descending trust values. Numerical simulation results reveal that the proposed WSD outperforms conventional fusion rules in terms of the error probability, sample size, achievable throughput, and latency, even under varying degrees of Byzantine attack. This innovation signifies a substantial advancement in enhancing the reliability and efficiency of CSS.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks

Wu,

Dai,

Teng

et al. 2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The authors in ref. [7] analyse the performance of data fusion and decision-based CSS scheme in a κ − μ fading channel. Authors address the issue of energy-efficiency in CSS and present a corresponding performance analysis in refs.…”

Section: Existing Workmentioning

confidence: 99%

Vasicek and Van Es entropy‐based spectrum sensing for cognitive radios

2023

View full text Add to dashboard Cite

Accurate detection of spectrum holes is a useful requirement for cognitive radios that improves the efficiency of spectrum usage. The authors propose three novel, simple, and entropy‐based detectors for spectrum sensing in cognitive radio. The authors evaluate the probability of detection of these three detectors: Vasicek's entropy detector, truncated Vasicek's entropy detector, and Van Es' entropy detector, over a predefined probability of false‐alarm. In particular, the authors provide the approximate and asymptotic test statistics for these detectors in the presence and absence of Nakagami‐m fading, noise variance uncertainty, and optimised detection threshold. Furthermore, the authors provide a detailed comparison study among all the detectors via Monte Carlo simulations and justify authors results through real‐world data. The authors’ experimental results establish a superior performance of truncated Vasicek's entropy detector over Vasicek's entropy detector, energy detector, differential entropy detector and Van Es' entropy detector in practically viable scenarios.

show abstract

“…In Balam et al, 17 an optimization analysis of a CSS system is studied over generalized

κ - μ

and

η - μ

fading channels. Over

κ - μ

fading channels, parameters selection for CSS methods is examined in Nallagonda et al 18 Over generalized fading channels, throughput study of a cooperative CR network is presented in Balam et al 19 The generalized

α - μ

fading distribution has only recently been invented and used to characterize the PU signal with multipath fading over small‐scale variations. It is applicable to fading situations, such as large‐scale models 20,21 .…”

Section: Introductionmentioning

confidence: 99%

Spectrum sensing performance of wireless cognitive radio sensor network with hard‐decision fusion over generalizedα−μfading channels

Nallagonda¹

2023

Int J Communication

Self Cite

View full text Add to dashboard Cite

Summary The analysis of spectrum sensing performance of energy detection (ED)‐based wireless cognitive radio sensor network (ED‐WCRSN) with hard‐decision combining (HDC) is presented in this paper. Particularly, several network parameters are derived to estimate the performance of ED‐WCRSN, considering channel errors, noise, and generalized α−μ fading. In the considered network, first, cognitive radio sensor (CRS) senses a primary user (PU), gets sensing data, and then uses an ED to make a local binary decisions about PU's active or inactive status. In both sensing and reporting channels, the channel error probability is also taken into account. Next, HDC technique is used at control center (CC) to combine the locally obtained decisions, and a final decision about the status of the PU is made. To do so, first, the expression for the novel and analytical, which incorporates noise and α−μ fading, detection probability in a CRS is derived and validated using Monte Carlo simulations in MATLAB and using an experimental setup. Then, utilizing derived mathematical expressions, closed‐form expressions of an average error rate (AER), optimal numbers of CRSs, and detection thresholds under noisy and α−μ fading conditions are developed. The substantial influence of channel and network factors is assessed using receiver operating characteristics (ROC), complementary ROC, and AER. Finally, the impacts of channel and network parameters on ED‐WCRSN performance are explored. For numerous parameters of the considered network, the optimal values detection threshold and number of CRSs are also found.

show abstract

On Selection of Parameters for Cooperative Spectrum Sensing Schemes overκ–μFading Channels

Cited by 8 publications

References 33 publications

Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks

Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks

Vasicek and Van Es entropy‐based spectrum sensing for cognitive radios

Spectrum sensing performance of wireless cognitive radio sensor network with hard‐decision fusion over generalizedα−μfading channels

Contact Info

Product

Resources

About