Efficient Spectrum Handoff Using Hybrid Priority Queuing Model in Cognitive Radio Networks

Nandakumar, S.; Bharadwaj, G. V. S. Sai; Srivastava, Divyanshu

doi:10.1007/s11277-019-06396-w

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…A high priority queuing model with discretion rule is suggested by Nandakumar et al to manage efectively spectrum handof in CRNs for priority-aware applications [39]. Te authors of [40] propose a blockchain-based, safe information exchange method for edge IoT devices.…”

Section: Related Workmentioning

confidence: 99%

Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology

Balakumar,

Sendrayan

2023

Journal of Electrical and Computer Engineering

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Cognitive radio (CR) is the best way to improve the efficiency of spectrum consumption for wireless multimedia communications. Spectrum sensing, which allows legitimate secondary users (SU) to find vacant bands in the spectrum, plays a vital role in CR networks. When cooperative sensing is used in CR networks, spectrum availability must be taken into account. In many ways, the shared cooperative spectrum sensing (CSS) data among SU. The presence of a malicious user (MU) in the system and sending false sensing data can degrade the performance of cooperative CR. The sharp rise in mobile data traffic causes congestion in the licensed band for the transmission of signals. Handling this security issue in real time, on top of spectrum sharing, is a challenge in such networks. In order to manage the spectrum and identify MU, blockchain-based CSS is developed in this article. To gauge the efficiency of the proposed topology, performance metrics like sensitivity, node selection, throughput measurement, and energy efficiency are used. This work suggests a unique, easier-to-use CSS method with MU suppression that outperforms the current one. According to simulation studies, the suggested topology can increase the likelihood of MU detection by roughly 15% when 40% of system users are malicious.

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Section: Related Workmentioning

confidence: 99%

Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology

Balakumar,

Sendrayan

2023

Journal of Electrical and Computer Engineering

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“…Under high PU arrival rate and hence greater interruption to the SU, this scheme may lead to the starvation of noninterrupted SU. Nandakumar et al proposed a hybrid preemptive priority queue where both preemptive and nonpreemptive resume priority queues are used. Based on some discretion rule, a priority is assigned to every SU, and if another SU is arrived, then higher priority SU is allowed to use the idle channel first.…”

Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Genetic algorithm-based hybrid spectrum handoff strategy in cognitive radio-based internet of things

Miao

Huo

et al. 2022

Telecommun Syst

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Efficient Spectrum Handoff Using Hybrid Priority Queuing Model in Cognitive Radio Networks

Cited by 11 publications

References 10 publications

Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology

Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Genetic algorithm-based hybrid spectrum handoff strategy in cognitive radio-based internet of things

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