Energy-efficient and reliable packet routing approach for wireless sensor networks

Гупта, Сунил; Shahid, Mohammad; Verma, Basant; Sharma, Ashish K.; Sharma, Durgesh M.

doi:10.1063/5.0114031

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…of the past ten years. Did the optimization in the CR network areas like Energy Efficient [66] [67], Clustering algorithms and Spectrum Sensing. Few upcoming areas are left like Artificial Neural Network, Deep Learning, Machine Learning, Bayesian Non-parametric Approach, Support Vector Machine.…”

Section: IXmentioning

confidence: 99%

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

Pravin Jaronde

2024

jes

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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: IXmentioning

confidence: 99%