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تحلیل بهبود دسترسی به رسانه در شبکه های هوشمند مبتنی بر IEEE 802.15.4 با استفاده از الگوریتم های هوش جمعی | ||
| پدافند الکترونیکی و سایبری | ||
| مقاله 2، دوره 7، شماره 3 - شماره پیاپی 23، آبان 1398، صفحه 9-20 اصل مقاله (1.28 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسندگان | ||
| مهدیه قزوینی* 1؛ امیر رضایی2 | ||
| 1شهید باهنر کرمان | ||
| 2دانش آموخته کارشناسی ارشد | ||
| تاریخ دریافت: 03 دی 1396، تاریخ پذیرش: 21 مهر 1397 | ||
| چکیده | ||
| نیاز به صرفهجویی در انرژی و تطابق زیست محیطی، سبب گردیده تا دولتها و صنایع برق در سراسر جهان، شبکه های برق موجود خود را به شبکه برق هوشمند یا به اختصار شبکه هوشمند تبدیل نمایند. در این بین، شبکههای مخابراتی نقش مهمی را در تبدیل شبکه برق فعلی به شبکه هوشمند ایفا میکنند. شبکههای حسگر بیسیم (WSN) شامل تعداد بسیار زیاد گرههای عملگر و حسگرهای ارزانقیمت، کمتوان، کوچک و چندتابعی میباشند که بهصورت بیسیم با یکدیگر در ارتباطند و به دلایلی همچون قابلیت اجرا در شرایط محیطی خاص، قابلیت تحمّل خطا، مصرف انرژی کمتر، پیکربندی خودکار، توسعه سریع و کمهزینه بهعنوان یک فناوری توانا جهت کاربردهای گوناگون شبکه هوشمند مورد توجه قرار گرفتهاند. در کنار مزایای فوق این نوع شبکه با محدودیت مهم تأخیر ارسال داده مواجه است که دلیل آن استفاده از پیوندهای ارتباطی کمتوان در محیطهای متراکم است. شناخت روش‌های آگاه به اولویت و تأخیر برای دسترسی به رسانه برای شبکههای حسگر بیسیم در شبکه هوشمند هدف اصلی در این پژوهش است که با ارائه روشی آگاه به اولویت و تأخیر همراه با بهبود قابلیت اطمینان بوسیله تنظیم پویای پارامترهای زیرلایه کنترل دسترسی به رسانه در WSN محقق گردیده است. پارامترهای زیرلایه کنترل دسترسی به رسانه شامل تعداد دفعات عقبگرد، عقبگرد نمایی، تعداد دفعات ارسال مجدد و پنجره رقابت میباشند که منطبق بر تغییرات دوره ارزیابی کانال بهصورت بهینه تنظیم میشوند. در روش پیشنهادی استفاده از روش بهینهسازی دسته ذرات بهمنظور تعیین مقادیر مناسب پارامترهای زیرلایه کنترل دسترسی به رسانه پیشنهاد شده است. | ||
| کلیدواژه‌ها | ||
| شبکه های هوشمند؛ شبکه حسگر بی سیم؛ کنترل دسترسی به رسانه؛ IEEE802.15.4؛ بهینه سازی دسته ذرات | ||
| عنوان مقاله [English] | ||
| Enhance Media Access Control in IEEE 802.15.4 Based Smart Grids using Swarm Intelligence Algorithms | ||
| نویسندگان [English] | ||
| M. Ghazvini1؛ A. Rezaei2 | ||
| 1Computer Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 2MSc. Graduated | ||
| چکیده [English] | ||
| The need for energy saving and environmental adaptation, has made governments and electric power industries around the world to turn their existing power grids into smart grids. Meanwhile, telecommunication networks play an important role in converting current networks into smart grids. The Wireless Sensor Networks (WSNs) include a large number of low-cost, small, and multi-functional sensor nodes that communicate wirelessly. WSNs are considered as a powerful technology for various applications of the smart grids for reasons such as the ability to run in specific environments, fault tolerance, lower power consumption, automated configuration, rapid development, and low cost. Despite the above advantages, the WSNs face the critical limitation of data transmission latency due to the low connectivity in dense environments. The main goal of this research is to figure out and present methods of media access with the ability to distinguish, prioritize and dela, for wireless sensor networks in smart grids. This goal is achieved by presenting a priority and delay aware method in order to improve the network reliability by dynamic adjustment of the media access control parameters in WSNs. The media access control parameters are the number of back offs, exponent back off, number of retransmissions, and contention window that are optimally adjusted according to the changes in clear channel assessment. In the proposed method, the particle swarm optimization method is exploited to determine appropriate values for the media access parameters. | ||
| کلیدواژه‌ها [English] | ||
| Smart Grid, Wireless Sensor Networks, Media Access Control, IEEE 802.15.4, Particle Swarm Optimization | ||
| مراجع | ||
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