İnsansız hava araçları (İHA), artan uçuş süreleri, iyileştirilmiş komuta-kontrol sistemleri ve taşıma kapasiteleri sayesinde geçtiğimiz yıllarda askeri ve ticari pek çok projede başarı ile kullanılmıştır. Ancak bahsedilen araçların hizmet süre ve kalitesi genellikle daha önce belirlenen ya da anlık olarak bulunan konumlarına doğrudan bağlıdır. Bu çalışmada baz istasyon özellikli bir insansız hava aracının kullanıcılara hizmet vermesi amacı ile uygun lokasyonu Harmoni Arama (Harmony Search, HS) ve Havai Fişek (Fireworks , FW) algoritmalarından faydalanılarak bulunmaya çalışılmıştır. Elde edilen sonuçlar Parçacık Sürü Optimizasyon (Particle Swarm Optimization, PSO) ve Yapay Arı Koloni (Artificial Bee Colony, ABC) algoritmaları tarafından bulunan sonuçlar ile de karşılaştırılmıştır. Karşılaştırma sonuçları HS algoritması ile belirlenen konumlarda mobil baz istasyonunun PSO, ABC ve FW algoritmaları ile belirlenen konumlara kıyasla daha başarılı hizmet verebileceğini göstermiştir.
In recent years, unmanned aerial vehicles (UAVs) with the increased flying times, improved command-control systems and carrying capacities have been used successfully for the various military and commerical projects. However, the time and qualities of the services provided by the mentioned vehicles are directly related with the locations determined previously or found instantly. In this study, an appropriate location of an UAV equipped with the base station capability for serving to the users is tried to be determined by utilizing from the Harmony Search (HS) and Fireworks (FW) algorithms. The obtained results are also compared with the results obtained by the PSO and ABC algorithms. Comparative results show that the mobile base station is capable of serving more successfully when its location is determined with the HS algorithm compared to the locations determined by the ABC, PSO and FW algorithms.
Primary Language | Turkish |
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Subjects | Engineering |
Journal Section | Makaleler(Araştırma) |
Authors | |
Publication Date | June 28, 2021 |
Published in Issue | Year 2021 Volume: 14 Issue: 1 |
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