İmmün Plazma Algoritması ile Bilişsel Radyo Ağlarında Çok Kullanıcılı Kanal Atama Probleminin Çözülmesi

Öz

Aralık 2019’da Çin’de başlayan ve tüm dünyayı etkisi altına alan koronavirüs (COVID-19) pandemisi olarak bilinen sağlık krizi, her ne kadar Tıbbi alanlarla doğrudan alakalı olsa da mevcut teşhis ve tedavi yöntemleri üzerine yapılan çalışmalar, bilgisayar bilimlerinden araştırmacıların da bu tedavi yöntemlerinden esinlenerek çalışmalar yapmasını mümkün kılmıştır. Bu çalışmada immün plazma tedavisinin temel işlem adımlarını dayanak noktası alan İmmün Plazma algoritması, bilişsel radyo ağlarında aynı zaman diliminde birden fazla bilişsel radyo kullanıcısının yayın yaptığı kanal atama probleminin özellikleri dikkate alınarak modifiye edilmiş ve bilişsel radyo kullanıcılarının aynı zaman dilimi içerisinde farklı kanalları kullanmalarını sağlamak amacıyla bir yöntem geliştirilerek bahsedilen problemin çözümündeki performansı incelenmiştir. Ayrıca, önerilen IPA temelli yöntem ile elde edilen sonuçlar Kaba Kuvvet arama ile elde edilen sonuçlar kullanılarak karşılaştırılmıştır. Karşılaştırma sonuçları IP algoritmasının bahsedilen arama yöntemine kıyasla daha başarılı sonuçları elde edebileceğini göstermiştir.

Anahtar Kelimeler

• Meta-sezgiseller
• İmmün Plazma algoritması
• kanal atama

Solving Multiuser Channel Assignment Problem in Cognitive Radio Networks with Immune Plasma Algorithm

Abstract

The health crisis, known as the coronavirus (COVID-19) pandemic, which started in China in December 2019 and affected the whole world, although it is directly related to the medical fields, studies on current diagnosis and treatment methods suggest that researchers from computer sciences can also use this treatment enabled him to work inspired by his methods In this study, the Immune Plasma algorithm, which is based on the basic process steps of immune plasma therapy, has been modified by considering the characteristics of the channel assignment problem in which more than one cognitive radio user broadcasts in the same time slot. A method is used to enable cognitive radio users to use different channels in the same time period developed and its performance in solving the mentioned problem was examined. In addition, the results obtained with the proposed IPA-based method are compared using the results obtained by Brute Force search. The comparison results showed that the IP algorithm can achieve more successful results compared to the mentioned search method.

Keywords

• Meta-heuristics
• Immune Plasma algorithm
• channel assignment

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