A New Energy-Efficient Adaptive Clustering Protocol Based on Genetic Algorithm&K-means for Improving the Lifetime in Wireless Sensor Networks
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 488
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICEEE07_285
تاریخ نمایه سازی: 19 اردیبهشت 1395
Abstract:
Wireless Sensor Networks (WSNs) consist of a large number of sensors which the sensors having capability of sensing, computation, and wireless communications with a life limited battery. Energy is a challenging issue in these networks, but various routing protocols cluster based are used to overcome this problem. In this paper, we propose a new hybrid method of K-means and improved GAs for the sake of reducing energy conception and prolonging network lifetime. In the proposed method, will be reduced energy conception by finding the optimum number of cluster heads (CHs) nodes by using improved Genetic Algorithm (GA) and dynamic clustering the network environment that is will be doing by k-means algorithm. We have made simulations on NS-2 that show the longer network lifetime of the proposed algorithm than the LEACH, GAEEP and GABEEC protocols.
Keywords:
Authors
Shahrzad Dehghani
Master Student Department of Software Engineering Faculty of Computer Engineering University of Allame Naeini
Mohammad Pourzaferani
Ph.D Candidate Department of Software Engineering Faculty of Computer Engineering University of Isfahan
Behrang Barekatain
Assistant Professor Department of Software Engineering Faculty of Computer Engineering University of Najaf Abad
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper 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 Paper لینک شده اند :