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پیشبینی تأخیر در سیستمهای کنترل مبتنیبر اینترنت با استفاده از روش‌های فرا ابتکاری و مقایسه آن‌ها | ||
| مجله نوآوری های فناوری اطلاعات و ارتباطات کاربردی | ||
| مقاله 5، دوره 1، شماره 1، آبان 1398، صفحه 45-52 اصل مقاله (1.05 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسندگان | ||
| روح اله اسداله پور کریمی* 1؛ رضا غفارپور1؛ عباس خان احمدی2 | ||
| 1جامع امام حسین (ع) | ||
| 2کارشناسی ارشد دانشگاه جامع امام حسین (ع) | ||
| تاریخ دریافت: 19 اسفند 1397، تاریخ بازنگری: 18 تیر 1398، تاریخ پذیرش: 02 مرداد 1398 | ||
| چکیده | ||
| سیستمهای کنترل مبتنی بر اینترنت روزبه‌روز در حال رشد و گسترش هستند. تأخیر اطلاعات مبادله شده مبتنیبر شبکه یکی از مهم‌ترین موضوعاتی است که این سیستمها با آن مواجه هستند. پیشبینی تأخیر میتواند کاربر را از تأخیر اطلاعات و همچنین اطلاعات ازدست‌رفته آگاه کند. پیشبینی تأخیر به‌صورت دقیق مسئلهای پیچیده و دشوار است که دغدغه بسیاری از محققان بوده و الگوریتمهای متعددی جهت حل این مسئله ارائه‌شده است. در این پژوهش مدلی از بهینهسازی ارائه گردیده که در آن از الگوریتم سیستم ایمنی مصنوعی و ازدحام ذرات به‌عنوان ابزار بهینهسازی و از نرمافزار مطلب به‌عنوان ابزار شبیهساز جهت پیشبینی تأخیر در سیستمهای کنترل استفاده شده است. مقایسه نتایج حاصل از الگوریتم سیستم ایمنی مصنوعی با الگوریتم ازدحام ذرات روی دادههای یکسان، کارایی و برتری سیستم ایمنی مصنوعی را چه ازنظر سرعت همگرایی و چه ازنظر کیفیت پاسخ نشان میدهد. | ||
| کلیدواژه‌ها | ||
| زمان تأخیر؛ پیشبینی تأخیر؛ کنترل مبتنیبر شبکه؛ سیستم ایمنی مصنوعی؛ بهینهسازی ازدحام ذرات؛ همگرایی | ||
| عنوان مقاله [English] | ||
| Delay forecast in the control system based on internet using the meta-heuristic methods and Comparing methods with each others | ||
| نویسندگان [English] | ||
| - -1؛ - -1؛ - -2 | ||
| 1- | ||
| 2- | ||
| چکیده [English] | ||
| Control systems based on internet are developing day by day. These systems are faced with many practical difficulties and challenges. Exchanged Information delay through the network is one of the most important issues of these systems and delay forecasting can make the user aware about the delays and missed data. As a result, the security system can prevent the cyber attacks. Predicting delays accurately, is a complex and difficult problem which has been studied by researchers, and several algorithms have been proposed to solve this problem. Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) are two meta-heuristic methods based on stochastic search that has been developed to solve optimization problems. In this paper, the optimization model is presented. The AIS and PSO has been used as tools for optimization and the “Matlab” software has been utilized as a simulating tool to pridicting delays. In systems Comparing the results of AIS and PSO algorithm on the same data shows the efficiency and superiority of the AIS, both in terms of convergence speed and quality of response. | ||
| کلیدواژه‌ها [English] | ||
| Time delay, Delay forecast, Control via the Internet, Artificial Immune System, Particle Swarm Optimization, convergence | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 416 تعداد دریافت فایل اصل مقاله: 195 |
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