به کارگیری منطق فازی در انتخاب مناسب گره بعدی برای پیکربندی مسیر با پروتکل LEAP در شبکه‌های حسگر بی‌سیم
محورهای موضوعی : مهندسی برق و کامپیوتروحید ستاری نائینی 1 * , فاطمه موحدی 2
1 - دانشگاه شهید باهنر کرمان
2 - دانشگاه آزاد اسلامی واحد کرمان
کلید واژه: انتخاب گام بعدی پروتکل LEAP شبکه حسگر بی‌سیم کاهش مصرف انرژی مسیریابی,
چکیده مقاله :
با توجه به این که در شبکه‌های حسگر بی‌سیم، انتخاب مناسب گره بعدی جهت جلوگیری از حملات و کاهش سطح مصرف انرژی حایز اهمیت است، در این مقاله روشی مبتنی بر منطق فازی برای انتخاب گره گام بعدی با مد نظر قرار دادن وضعیت و انتقال گزارش به گره‌های مختلف ارائه می‌شود. در این روش به صورتی کارامد گره گام بعدی با چهار عامل بر مبنای سیستم منطق فازی انتخاب می‌شود. این چهار عامل، بیان‌کننده چهار پارامتر بهینه‌شده از نظر انرژی، یعنی درجه نزدیکی گره به کوتاه‌ترین مسیر، درجه نزدیکی گره به سرخوشه، نسبت انرژی باقیمانده هر گره و تعداد پیام‌های غلط فیلترشده می‌باشد. روش پیشنهادی با افزایش سطح انرژی و حفظ سطح همسانی از امنیت در مقایسه با پروتکل LEAP همراه است. همچنین این امکان فراهم می‌شود تا با انتخاب مناسب گام بعدی قادر به شناسایی مسیرهای مناسب و امن و جلوگیری از حملات باشیم. مقایسه روش پیشنهادی و روش‌های مرتبط نشان می‌دهد که روش پیشنهادی مصرف انرژی را کاهش چشم‌گیری داده و متعاقب آن طول عمر شبکه را افزایش می‌دهد. همچنین نتایج حاصل از شبیه‌سازی نشان می‌دهد که با انتخاب مناسب گام بعدی با تلفات بسته کمتری نسبت به روش‌های دیگر مواجه هستیم
Since in wireless sensor networks, selection of next hop is critical in attack avoidance and lowering the power consumption, a method based on fuzzy logic is proposed in this paper considering status and report transmission of the nodes. In this method, the next hop is selected considering four factors, based on fuzzy logic system. These factors, indicating four optimized parameters; i.e., degree of node proximity to the shortest path, degree of node proximity to the sink, residual energy ratio of each node, and the number of false filtered messages. This method leads to an increase in energy level as well as maintaining security level in comparison with LEAP protocol. Meanwhile, it is possible to identify safe paths. Comparing with other related methods, it is shown that this method leads to significant reduction in energy consumption level and consequently the life-time of the network is increased. Meanwhile with selecting the appropriate next hop, packet drops are reduced as well.
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