Energy-Efficient Cooperative Spectrum Sensing Based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks

Kaschel, Héctor; Toledo, Karel; Gómez, Jorge Torres; García, M. Julia Fernández‐Getino

doi:10.1109/access.2020.3046466

Cited by 11 publications

(8 citation statements)

References 45 publications

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“…cooperative spectrum sensing scheme for OFDMA cognitive radio networks, considering fairness among secondary users [12]. The proposed scheme optimizes energy allocation and transmission power while ensuring fairness in spectrum access, enhancing the overall efficiency of the cognitive radio network.…”

Section: Chunshan Et Al Present An Energy-efficientmentioning

confidence: 99%

Optimization of Energy and Spectrum Sensing Using Orthogonal Frequency Division Multiple Access

Dr. Raghavendra Y M,

Dr. Asha.M,

Dr. Manjula.G

et al. 2024

Int Res J Adv Engg Hub

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Orthogonal Frequency Division Multiple Access (OFDMA) has emerged as a cornerstone technology in modern wireless communication systems due to its ability to efficiently utilize spectrum resources. However, the dynamic nature of wireless environments demands robust spectrum sensing techniques to ensure efficient spectrum utilization and mitigate interference. The fundamentals of OFDMA and its significance in contemporary wireless network is initially discussed by offering high spectral efficiency, flexibility, and support for diverse services, making it a fundamental technology in standards such as LTE (Long-Term Evolution) and Wi-Fi. Its significance is expected to grow further with the deployment of 5G and beyond. This article presents a comprehensive analysis of Optimized energy detection-based spectrum sensing in OFDMA systems. Evaluated the system performance through simulation by considering parameters such as energy consumption, detection accuracy, and spectral efficiency. Finally, we provide insights into future research directions and emerging trends in spectrum sensing optimization for OFDMA systems, including cognitive radio networks, dynamic spectrum access, and fifth-generation (5G) wireless networks.

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Section: Chunshan Et Al Present An Energy-efficientmentioning

confidence: 99%

Optimization of Energy and Spectrum Sensing Using Orthogonal Frequency Division Multiple Access

Dr. Raghavendra Y M,

Dr. Asha.M,

Dr. Manjula.G

et al. 2024

Int Res J Adv Engg Hub

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“…Authors address the issue of energy-efficiency in CSS and present a corresponding performance analysis in refs. [8,9].…”

Section: Existing Workmentioning

confidence: 99%

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

2023

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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.

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“…In cognitive radio sensor networks (CRSNs), cognitive radio technology enables CRSNs nodes to dynamically access licensed spectrum for communication without affecting primary users (PUs), which dramatically improves spectrum efficiency and network surveillance capability [ 1 , 2 ]. In order to improve energy efficiency, CRSNs nodes are usually grouped into different clusters by using certain clustering protocols.…”

Section: Introductionmentioning

confidence: 99%

Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

Wang

Hao

et al. 2022

PLoS ONE

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In cognitive radio sensor networks, single clustering protocol cannot simultaneously satisfy the various requirements of time-triggered and event-driven traffic, as a result, different kinds of clustering protocols are designed to serve them separately. In addition, for event-driven traffic, the long delay incurred by clustering and searching for available routes after events results in poor timeliness of information transmission. In order to solve above problems, a traffic-driven ions motion optimization-based clustering routing protocol (TD-IMOCRP) is proposed in this paper. For the first time, time-triggered and event-driven traffic can be served by a single clustering protocol. To be specific, ions motion optimization algorithm is leveraged to automatically determine the optimal number of clusters and form basic clustering structure. In this case, time-triggered traffic can be periodically served. Priority-based schedule and corresponding frame structure are designed to ensure priority delivery of event-driven information. The clustering architecture built for time-triggered traffic is leveraged, and there is no cluster construction and route selection after emergent events. Only the CRSNs nodes which discover emergent events and corresponding CHs participate in data transmission, which means that TD-IMOCRP covers fewer nodes, especially when the sink is located at the corner. Therefore, it can help reduce node energy consumption and delay. Simulation results demonstrate that compared with representative event-driven clustering protocols, TD-IMOCRP can decrease the average number of covered nodes and the total energy consumption by more than 66.3% and 25%, respectively. In addition, when serving time-triggered traffic, TD-IMOCRP can achieve almost the same performance as its basic version IMOCRP which is better than majority of current time-triggered clustering protocols. In a word, TD-IMOCRP can guarantee in-time delivery of event-driven information while guaranteeing its performance of serving time-triggered traffic.

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Energy-Efficient Cooperative Spectrum Sensing Based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks

Cited by 11 publications

References 45 publications

Optimization of Energy and Spectrum Sensing Using Orthogonal Frequency Division Multiple Access

Optimization of Energy and Spectrum Sensing Using Orthogonal Frequency Division Multiple Access

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

Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks

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