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

Miao, Liu; He, Qing; Huo, Zhuo-Miao; Sun, Zhenxing; Xu, Di

doi:10.1007/s11235-022-00895-1

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…Then the collaboration of the selection-based routing model and channel allocation were considered for sending the piggybacking route request for non-mischievous nodes. In [53], the authors stated that the collaboration of nodes became a large challenging issue in the cognitive wireless network. A novel algorithm for collaborative routing in multihops cognitive networks was constructed in this proposed work.…”

Section: Literature Surveymentioning

confidence: 99%

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Kumar,

Sharanya

2023

ijmst

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During the last decade, Cognitive Radio Network (CRN) technology has been a significant advance in addressing the ever-increasing spectrum demand. As the number of licensed and unlicensed users in a network rises to complete a certain activity, the information exchange between various types of traffic becomes more complex and difficult. Congestion in CRN is also caused by the conflict among several users for channel access (PUs and SUs). In a very crowded network, many applications perform badly owing to packet collisions and, as a result, packet loss before significant buffer queue building. This circumstance is aggravated by an increase in network users. Congestion control is a vital and essential aspect of the present research issue in communication networks. Several recent reviews in the literature indicate that the congestion issue in the CRN has not been thoroughly studied. Thus, effective and efficient congestion control strategies are sought to optimize network resource usage and management. To prevent congestion, it is crucial for CRN to do research on the creation of an efficient congestion management system. This will improve the network's resource consumption and performance. "Performance improvement via efficient spectrum management through optimum resource management and congestion control in the CRN by mitigating different threats" is the primary target of this project. This research also focused on enhancing performance by addressing security issues in an IoT-based CRN environment. This study provides a comprehensive review of several similar studies and their limitations, which may be used to formulate a new research target.

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Section: Literature Surveymentioning

confidence: 99%

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Kumar,

Sharanya

2023

ijmst

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“…Due to CR technology, unauthorised secondary users (SUs) can access the legacy user's (LU's) spectra whenever the LU isn't using it. The SU employs spectrum handoff to avoid collisions when the LU accesses the authorised channel 6 . The MAC layer protocol architecture of CVN technology allows it to increase spectrum efficiency without addressing the problems of latency for safety messages or bandwidth scarcity for nonsafety applications.…”

Section: Introductionmentioning

confidence: 99%

Reliable cooperative communication in cognitive vehicular networks for intelligent transportation systems

Dubey,

Tiwari,

Yadav

et al. 2023

Int J Communication

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SummaryRapid intelligent transportation systems (ITS) innovations need a reliable MAC protocol to enable massive nonsafety message delivery and high‐priority safety broadcasts. The significant rise in spectrum need is regulated by collaboration in cognitive vehicular networks (CVNs). For QoS improvement, a reliable cooperative MAC for CVNs (CCVN‐MAC) is presented in this study. CCVN allows vehicles to collaborate and share channel status information, allowing for proactive channel switching in case of a legacy user (LU) appearance. To enable transmission mode selection, additional control signals are included. Using the suggested cooperative makeup technique, the helper nodes resend failed transmission. A Markov chain represents the protocol, and NS‐2 is used to evaluate it for several performance characteristics. Compared with conventional MAC techniques, the proposed protocol depicts improved performance, including depreciation of 70% in average latency and an increment of 42.4% in throughput.

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Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT

Kothari,

Kurumbanshi

2024

Int. j. inf. tecnol.

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

Cited by 6 publications

References 26 publications

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Reliable cooperative communication in cognitive vehicular networks for intelligent transportation systems

Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT

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