دوره 23، شماره 2 - ( مجله مهندسی برق و الکترونیک ایران - جلد 23 شماره 2 1405 )
جلد 23 شماره 2 صفحات 15-3 |
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Tabatabaei S. A Novel Multicast Routing Approach for MRMC Wireless Mesh Networks Using Fuzzy Logic and Reinforcement Learning. Journal of Iranian Association of Electrical and Electronics Engineers 2026; 23 (2) :3-15
URL: http://jiaeee.com/article-1-1815-fa.html
URL: http://jiaeee.com/article-1-1815-fa.html
طباطبائی شایسته. روش نوین مسیریابی چندپخشی مبتنی بر منطق فازی و یادگیری تقویتی در شبکه‌های مش بی‌سیم چندرادیویی و چندکاناله. نشریه مهندسی برق و الکترونیک ایران. 1405; 23 (2) :3-15
دانشکده چندرسانه‌ای- دانشگاه هنر اسلامی تبریز
چکیده: (33 مشاهده)
در شبکه‌های مش بی‌سیم چندرادیویی و چندکاناله (MR-MC WMNs)، استفاده از گره‌های چند رادیویی که به کانال‌های غیرهمپوشان متصل هستند، موجب افزایش ظرفیت شبکه و بهبود پهنای باند قابل‌دسترس می‌شود؛ با این حال، در شرایطی که تعداد رادیوها بیشتر از تعداد کانال‌ها باشد، تداخل میان لینک‌ها اجتناب‌ناپذیر بوده و عملکرد شبکه را کاهش می‌دهد. این مطالعه با هدف بهینه‌سازی عملکرد شبکه در شرایط ترافیک بالا و محیط‌های چندکاناله، الگوریتمی با عنوان مسیریابی مبتنی بر منطق فازی و یادگیری تقویتی (RLFLBRA) ارائه می‌دهد که با بهره‌گیری از سه ورودی فازی شامل سطح تداخل، پهنای باند در دسترس و تعداد گام‌های مسیر، مسیرهای بهینه برای ارسال چندپخشی را انتخاب میکند. این الگوریتم با درنظر گرفتن آگاهی از تداخل، منجر به استفاده مؤثرتر از منابع شبکه می‌شود. کارایی روش پیشنهادی از طریق شبیه‌سازی در نرم‌افزار OPNET نسخه 10.5 و با مقایسه با پروتکل‌های مرجع نظیر CAMF و FB_MR بررسی شده است. نتایج حاکی از بهبود قابل‌توجه در شاخص‌هایی مانند نرخ گذردهی، نسبت تحویل بسته، و تأخیر انتها به انتها هستند.
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