یک رهیافت فرااکتشافی چندهدفه برای بهبود پوشش و اتصال در شبکههای حسگر بیسیم
الموضوعات : electrical and computer engineeringمصطفی بصیرنژاد 1 , محبوبه هوشمند 2 , سید عابد حسینی 3 , مهرداد جلالی 4
1 - گروه مهندسی کامپیوتر، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
2 - واحد مشهد، دانشگاه آزاد اسلامي، مشهد، ايران
3 - گروه مهندسی برق، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران.
4 - گروه علمداده کاربردی و هوشمصنوعی، دانشگاه SRH هایدلبرگ، هایدلبرگ، آلمان
الکلمات المفتاحية: شبکههای حسگر بیسیم, پوشش, اتصال, الگوریتمهای فرااکتشافی, بهینهسازی چندهدفه.,
ملخص المقالة :
مقاله حاضر به بررسی و ارائه یک الگوریتم بهینهساز جدید تحت عنوان الگوریتم بهینهساز یوزپلنگ چندهدفه (MOCO) میپردازد که باهدف افزایش پوشش و بهبود اتصال در شبکههای حسگر بیسیم توسعهیافته است. این الگوریتم با بهرهگیری از مفاهیم بهینهسازی فرا اکتشافی، یک رویکرد نوین برای تعیین بهینه موقعیت گرههای حسگر و مدیریت منابع ارائه میدهد. در این روش، با تعریف یک تابع هدف چندمعیاره شامل بیشینهسازی پوشش ناحیه، بهبود اتصال بین گرهها و کاهش مصرف انرژی، قادر است تعادل مناسبی میان این اهداف برقرار کند. الگوریتم پیشنهادی از قابلیتهای جستجوی تصادفی و پرشتاب الگوریتم یوزپلنگ الهام گرفته و امکان جستجوی مؤثرتر در فضای پاسخ را فراهم میسازد. نتایج شبیهسازیها و آزمایشهای انجامشده نشان میدهد که MOCO در مقایسه با سه الگوریتمCSSO ، MOFAC-GA-PSO و HHA توانسته نرخ پوشش محیط را به بیش از 5/94 درصد افزایش دهد، نرخ اتصال شبکه را به حدود 8/97 درصد برساند و درعینحال میانگین مصرف انرژی حسگرها را تا ۱۵ درصد نسبت به سایر الگوریتمها کاهش دهد.
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