Kablosuz Sensör Ağlarında Konum Belirlemede Sezgisel Algoritmaların Kuantum Davranışları ile Karşılaştırılması

Year 2020, Volume: 12 Issue: 2, 587 - 602, 30.06.2020

Ertem Kızılkaplan Tolga Eren Fikret Yalçınkaya

https://doi.org/10.29137/umagd.746589

Cited By: 2

Abstract

Günümüzde, kablosuz sensör ağlarında (KSA) konum belirleme giderek önemli bir hale gelmektedir. Bir çok uygulamada kullanılan KSA’larda konum belirleme optimizasyon tekniği, istenilen amaca doğru, hızlı ve de güvenilir bir şekilde ulaşmak için önemli bir adım oluşturmaktadır. Bu nedenle hedeflenen konumları bulmayı amaçlayan çalışmada, doğadan esinlenerek oluşturulmuş yeni nesil sezgisel algoritmalardan Çiçek Tozlaşma Algoritması (FPA) ve Guguk Kuşu Arama Algoritması (CSA) metotları (KSA)’larda konum belirleme probleminin çözülmesi amacı ile karşılaştırılmıştır. Ayrıca bu algoritmaların küresel arama kabiliyetini ve doğruluğunu geliştirmek ve karşılaştırmak amacıyla da Çiçek Tozlaşma Algoritması (FPA) ve Guguk Kuşu Arama Algoritması (CSA) kuantum davranışlı arama mekanizmalarıyla ayrı ayrı birleştirilmiştir. Matlab ortamında test sistemine uygulanmış kuantum davranışlı QFPA ve QCSA ile standart FPA ve CSA’nın benzer problem çözümüne olan yaklaşımları da değerlendirilmiştir.

Keywords

Kablosuz sensör ağları, Sezgisel algoritmalar, Kuantum davranışı, FPA, CSA, QFPA, QCSA

Comparison of Heuristic Algorithms via Quantum Behavior in Localization of Wireless Sensor Networks

Abstract

Today, positioning in wireless sensor networks is becoming an important in many applications. The positioning optimization technique in WSN’s used in many applications is an important step to reach the desired goal quickly and reliably. For this reason, in the study aiming to find the targeted locations, one of the new generation heuristic algorithms created by inspiring from nature Flower Pollination Algorithm (FPA) and Cuckoo Search Algorithm (CSA) methods have been compared in solving the problem of positioning in WSN’s. In addition, Flower Pollination Algorithm (FPA) and Cuckoo Search Algorithm (CSA) are combined with quantum behavior search mechanisms to improve and compare the global search capability and accuracy of this algorithm. Quantum-behavior QFPA and QCSA applied to the test system in Matlab environment and the approaches of standard FPA and CSA to similar problem solutions were evaluated.

Keywords

Localization in wireless sensor networks, Heuristic algorithms, Quantum behavior, FPA, CSA, QFPA, QCSA

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