A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks

Hossain, Mohammad Amzad; Schukat, Michael; Barrett, Enda

doi:10.1109/ccwc51732.2021.9376142

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…In contrast to the traditional nonsequential energy detection spectrum sensing strategy, Hossain et al 53 suggested an energy‐efficient sequential energy detection spectrum sensing method that increases the sensing length of each unlicensed Cognitive Radio (CR)‐IoT user/secondary users by exploiting the reporting time slot. Additionally, each unlicensed CR‐IoT user determined the weight factor using the Kullback Liebler Divergence score to improve the detection efficiency.…”

Section: Classification and Review Of The Selected Papersmentioning

confidence: 99%

“…The average power of IoT devices is reduced by using numerous UAVs to support the IoT networks, considering an industrial control and safety alarm system in ultrareliable and URLLC According to simulation data, adding additional UAVs to support wireless communications can reduce device power required for URLLC. In IoT networks with restricted power, increased latency is important if it can be tolerated Energy management Hossain et al 53 2021 Recommending a sequential energy detection spectrum sensing method to improve the CR-IoT user's sensing gain and sum rate and the energy and spectrum effectiveness of the CR-IoT network while dealing with interference restrictions…”

Section: Yao Andmentioning

confidence: 99%

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An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Gong

2023

Int J Communication

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The widespread use of Internet of Things (IoT) in various wireless sensor networks applications has increased their importance in recent years. IoT is a smart technology that connects anything anywhere at any time. These smart objects, which connect the physical world with the world of computing infrastructure, are expected to permeate all aspects of our daily lives and revolutionize a number of application domains such as healthcare, energy conservation, and transportation. As wireless networking expands, the disadvantage of wireless communication is clearly obvious. People's apprehension over the IoT's dependability has therefore skyrocketed. IoT networks' key requirements are dependability, channel security, fault tolerance, and reliability. Monitoring the IoT networks depends on the availability and correct functioning of all the network nodes. Recent research has proposed promising solutions to address these challenges. This article systematically examines recent articles that use meta-heuristic and nature-inspired algorithms to establish reliable IoT networks. Eighteen articles were analyzed in four groups. Results showed that reliable enhancement mechanisms in IoT networks increase fault node detection, network efficiency, and lifetime and attain energy optimization results in the IoT concept. Additionally, it was discovered in the literature that the current studies focus on how to effectively use edge network capabilities for IoT application executions and support, along with the related needs.

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Section: Classification and Review Of The Selected Papersmentioning

confidence: 99%

Section: Yao Andmentioning

confidence: 99%

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Gong

2023

Int J Communication

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“…In [56], the authors suggested an improved cooperative spectrum sensing (CSS) algorithm based on the machine learning mechanism in CRN. This spectrum sensing algorithm involves two major steps such as the K-means clustering [57] method for online training and classification results with the threshold. First, availability decision of the channel was done by exploiting the similarities of the cluster and the received signal and the extraction of resulted features were done by Principle Component Analysis (PCA).…”

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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Effect of Relay-based Communication on Probability of Detection for Spectrum Sensing in LoRaWAN

Rafiqi,

Mahendru,

Gupta

2023

Wireless Pers Commun

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A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks

Cited by 7 publications

References 13 publications

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Effect of Relay-based Communication on Probability of Detection for Spectrum Sensing in LoRaWAN

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