Fuzzy based clustering in CWPSN using machine learning model
Online Publishing @ NISCAIR
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Title Statement |
Fuzzy based clustering in CWPSN using machine learning model |
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Added Entry - Uncontrolled Name |
M, Bhuvaneswari ; Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu 641 008, India |
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Uncontrolled Index Term |
Energy harvesting, Greedy algorithm, CNN, Primary user, Machine learning, Artificial intelligence |
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Summary, etc. |
researchers have addressed the problems in the lack of radio spectrum availability and enabled the allocation of dynamic spectrumaccess in specific fields. The main challenge has been to support the radio spectrum allocation using intelligent adaptive learningand decision-making techniques so that various requirements of 5G wireless networks can be encountered. Machine learning (ML)is one of the most promising artificial intelligence tools conceived to support cognitive wireless networks. This paper aims toprovide energy optimization and enhance security to cognitive wireless power sensor networks using a novel protocol duringresource allocation. In addition to the existing methods, a novel protocol, fuzzy cluster-based greedy algorithms for attackprediction and energy harvesting using a machine-language model based on neural network techniques have been introduced. Thesimulation has been done using MATLAB software tools which gives efficient results. |
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Publication, Distribution, Etc. |
Indian Journal of Radio & Space Physics (IJRSP) 2022-04-27 12:56:22 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/IJRSP/article/view/62102 |
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Data Source Entry |
Indian Journal of Radio & Space Physics (IJRSP); ##issue.vol## 50, ##issue.no## 2 (2021): IJRSP-JUNE 2021 |
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Language Note |
en |
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Terms Governing Use and Reproduction Note |
Except where otherwise noted, the Articles on this site are licensed underCreative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India© 2012. The Council of Scientific & Industrial Research, New Delhi. |
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