Traffic Congestion and Blocking Probability Improvement Using Weighted dynamic RWA
محل انتشار: فصلنامه ادوات مخابراتی، دوره: 7، شماره: 2
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 217
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_TDMA-7-2_006
تاریخ نمایه سازی: 31 خرداد 1402
چکیده مقاله:
Given the needs of today's world, quick, high-volume, and high quality communication of information is performed in a variety of ways. Studies conducted by the researchers in the field of routing and wavelength allocation algorithms in previous years show that these algorithms have greatly improved the performance of communication and information transmission. However, these topics have been largely investigated, but in particular, in the optical networks WDM, is one of the goals of the routing problem investigation, wavelength allocation, and maximizing useful communication. In other words, because the optical route in the WDM optical network is the connection between the receiver node and the transmitter node, the best route for the network should be considered. As we mentioned, these issues have largely been investigated over the past years, but still the issue of RWA is presented and examined as a major and challenging issue. In this article, we offer a new way for weighting-based routing for all the optical channels. This selective weighting method dramatically reduces the possibility of blocking communications. Another issue we have addressed in this article is conditions where traffic is dynamic. According to the results obtained, it is shown that performance has been improved compared to the previous modes.
کلیدواژه ها:
نویسندگان
Parisa Alinezhad
Islamic Azad University of Majlesi, Majlesi, Iran.
Farhad Mesrinezhad
Islamic Azad University of Majlesi, Majlesi, Iran
Hossein Emami
Islamic Azad University of Majlesi, Majlesi, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :