A combined approach based on data envelopment analysis and neural networks to improve the lifetime of the sensor network
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 710
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
MAIE01_374
تاریخ نمایه سازی: 21 شهریور 1395
Abstract:
Recently, wireless sensor networks, routing protocols are based on the clustering of neighboring nodes by dividing into separate clusters and cluster head selection for combining local and cluster information to the base station and try to balance the energy consumption of nodes in the network, the best performance in terms of longevity and maintain network coverage compared with other routing methods to gain. However, clustering protocols proposed so far, the only geographical proximity (neighborhood) as a parameter in the cluster one.his study utilizes a neural network and data envelopment analysis lifetime of wireless networks and examine their effectiveness. Clusters and networks useful lifetime of the network and maintain network coverage better than the previous protocols, such as LEACH and LEA2C well as the effect the cost function, and its efficiency proposed (with simulation) confined is.
Keywords:
Authors
Mohammad Askari Sajedi
Department of Industrial Engineering, Engineering Faculty, I.A.U, Firozkuh branch, Iran.
Mohammad Hossein Darvish motevally
Department of Management, firozkuh branch, I.A.U, firozkuh, Iran
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 :