Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improved Random Forest Algorithm for Cognitive Radio Networks' Distributed Channel and Resource Allocation Performance Subject The topic of the resource Channel Allocation; Cognitive Radio Networks; Random Forest; Routing; Throughput Description An account of the resource Modified Random Forest (MRF) machine learning algorithm aimed at improving the distributed channel allocation and resource allocation performance in cognitive radio networks (CRNs). The purpose of this research is to enhance the efficiency and effectiveness of CRNs by optimizing the allocation of channels and resources. The proposed MRF algorithm is developed by adapting and modifying the random forest technique to address the specific challenges of CRN allocation. Experimental evaluations demonstrate that the MRF algorithm achieves higher accuracy and efficiency compared to existing routing techniques and channel allocation algorithms like ACO and PSO. It exhibits a high packet delivery ratio, increased throughput, and reduced delay in channel selection, thus improving the overall performance of CRNs.The implications of this research are twofold. On a theoretical level, this study contributes to the field by extending the capabilities of the random forest algorithm and adapting it to the domain of CRNs. The modified algorithm demonstrates the potential of machine learning techniques in addressing allocation challenges in wireless communication systems. The findings emphasize the importance of advanced algorithms in improving the efficiency and effectiveness of channel and resource allocation processes. 2023, Success Culture Press. All rights reserved. Creator An entity primarily responsible for making the resource Rajesh Kanna R.; Mohana Priya T.; Rohini V.; Ashok Immanuel V.; Senthilnathan T.; Kirubanand V.B.; Ibrahim A. Source A related resource from which the described resource is derived Journal of Logistics, Informatics and Service Science, Vol-10, No. 3, pp. 98-106. Publisher An entity responsible for making the resource available Success Culture Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.33168/JLISS.2023.0308" target="_blank" rel="noreferrer noopener">https://doi.org/10.33168/JLISS.2023.0308</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167429928&amp;doi=10.33168%2FJLISS.2023.0308&amp;partnerID=40&amp;md5=cd5f32598ce55cc095f1da1e1fd3d492" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167429928&amp;doi=10.33168%2fJLISS.2023.0308&amp;partnerID=40&amp;md5=cd5f32598ce55cc095f1da1e1fd3d492</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 24092665 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajesh Kanna R., Christ (Deemed to be University), India; Mohana Priya T., Christ (Deemed to be University), India; Rohini V., Christ (Deemed to be University), India; Ashok Immanuel V., Christ (Deemed to be University), India; Senthilnathan T., Christ (Deemed to be University), India; Kirubanand V.B., Christ (Deemed to be University), India; Ibrahim A., Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia