مسیریابی برای شبکه‌ای از پهپادها با هدف جست‌وجو و نجات
محورهای موضوعی : عمومى
عاطفه واثی
1
(کارشناس ارشد گروه کامپیوتر، دانشکده فنی و مهندسی، دانشگاه قم، قم، ایران)
طاها بازوند
2
(کارشناسی ارشد گروه هوافضا، دانشکده مهندسی هوافضا، دانشگاه صنعتی مالک اشتر، تهران، ایران)
محسن نیک رای
3
(استادیار گروه کامپیوتر، دانشکده فنی و مهندسی، دانشگاه قم، قم، ایران.)
کلید واژه: بهینه‌سازی, الگوریتم ژنتیک, الگوریتم Q-Learning, مسیریابی پهپادها, شبکه‌ای از پهپادها,
چکیده مقاله :
مسیریابی شبکه‌ای پهپادها برای عملیات جست‌وجو و نجات یک چالش مهم است. این چالش به‌دلیل محدودیت‌های فیزیکی پهپادها، شرایط محیطی نامساعد، و محدودیت‌های زمانی است. در این مقاله، یک روش جدید برای مسیریابی شبکه‌ای پهپادها با استفاده از الگوریتم Q-Learning ارائه شده‌است. این الگوریتم به پهپادها امکان می‌دهد تا به‌صورت خودکار بهترین مسیرها را در محیط‌های پیچیده ترسیم کنند و همچنین با تغییرات محیطی سازگار شوند. نتایج شبیه‌سازی‌های انجام شده نشان‌می‌دهد که الگوریتم Q-Learning می‌تواند مسیرهای کوتاه‌تر و کارآمدتری را نسبت به الگوریتم‌های حوزه ژنتیک پیدا کند. این نتایج نشان‌می‌دهد که الگوریتم Q-Learning می‌تواند یک روش امیدوارکننده برای بهبود مسیریابی شبکه‌ای پهپادها در عملیات جست‌وجو و نجات باشد
Network routing of drones for search and rescue operations is a critical challenge. This challenge arises due to the physical limitations of drones, adverse environmental conditions, and time constraints. In this paper, a novel approach for network routing of drones using the Q-Learning algorithm is proposed. This algorithm enables drones to automatically determine optimal paths in complex environments and adapt to environmental changes. Simulation results demonstrate that the Q-Learning algorithm can find shorter and more efficient routes compared to genetic algorithms. These findings highlight Q-Learning as a promising method for improving network routing of drones in search and rescue operations
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