Energy and Spectrum Efficient Cognitive Radio Sensor Networks

Bavistale, Ayush; Dhokne, Abhishek; Kukade, Apeksha; Kumbhare, Arpit; Talokar, Akshita; Jaronde, Pravin

doi:10.1109/icetet-sip58143.2023.10151496

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Few papers are referred in this review research where the authors have applied different methods algorithms so that the network efficiency improved in a performance, accuracy and lifetime manner. The Co-authorship analysis of Energy efficient [64] Clustering algorithms for IoT with Cognitive Radio Network In the IoT network the communication can be done by device to device connectivity. CR network with IoT is the intelligent communication [63] where the node are responsible to transmit and receive the information from the environment.…”

Section: Methodsmentioning

confidence: 99%

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Encapsulation of Energy Efficient, Clustering Algorithm and Spectrum Sensing for Cognitive Radio Based Internet of Things Networks

Pravin Jaronde

2024

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Since the two decade the Internet of Things (IoT) plays an important role in the field of communication technology. Out of maximum of IoT devices are battery operated. So there should be energy efficient devices that can operate more functions with less power consumption. The main power constraints in the IoT devices are in the communication like spectrum selection, data transmission, etc. To perform communication between the two nodes the spectrum must be available. But as spectrums are limited and a lot of data is to be transmitted there may the issue of spectrum scarcity. The dynamic spectrum access is done using Cognitive Radio (CR) technology that can overcome spectrum scarcity issue. This paper gives the research work on energy efficient, clustering algorithm and spectrum sensing for CR based IoT networks in terms of the methods, merits, demerits and implementation. For efficiency in the spectrum sensing and energy consumption in 5G wireless communication network and data transfer between the IoT devices this study is essential. The biblometric analysis is shown by using VOSviewer to visualize the bibliometric information and the result as an analysis of ROC curve for Rayleigh and Rician channel is plotted using Matlab.

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%