An Energy and QoS-aware Routing Protocol for Wireless Sensor Networks utilizing non-Revisiting non-dominated Sorting Genetic Algorithm

سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,057

فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ITEC01_119

تاریخ نمایه سازی: 12 اردیبهشت 1391

چکیده مقاله:

Energy saving is one of the major concerns in Wireless Sensor Networks (WSNs) and much research have been done on energy optimization in essays to prolong network lifetime. Nowadays, there are WSN applications that need the Quality of Service (QoS) guarantee. Offering some QoS guarantee in sensor networks raises significant challenges. Not only the network needs to cope with battery constraint, but also should provide QoS guarantee, such as end-to-end delay and reliability. Designing protocols that optimize multiple objectives is computationally intractable. In this paper, first a new multi-objective genetic algorithm, named non-Revisiting non-dominated Sorting Genetic Algorithm (RSGA) is introduced. Then, an energy efficient QoS aware Routing protocol (QoSaR) is proposed based on RSGA to determine optimal routes that satisfies multiple parameters simultaneously. Simulation results in OPNET Modeler 14.0 demonstrate that QoSaR extends network lifetime while it outperforms network performance in comparison with SPEED and SAR routing protocols, by optimizing multiple QoS parameters.

نویسندگان

GholamHossein EkbataniFard

Sama technical and vocational training college, Islamic Azad University, Rasht Branch, Rasht, Iran

Reza Monsefi,

Ferdowsi University of Mashhad, Mashhad ۹۱۷۷۵-۱۱۱۱, Khorasan Razavi, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :
  • A. Bari, et al., "A genetic algorithm based approach for ...
  • K. Deb, et al., _ fast and elitist multiobjective genetic ...
  • S. Y. Yuen and C. K Chow, "A genetic algorithm ...
  • T. He, et al., "SPEED: A stateless protocol for real-time ...
  • K. Sohrabi, et al., "Protocols for S _ If-organization of ...
  • H. Wendi Rabiner et al., "Adaptive protocols for information dissemination ...
  • C. Intanago nwiwat, et al., "Directed diffusion: A scalable and ...
  • V. Rodoplu and T. H. Meng, "Minimum energy mobile wireless ...
  • L. Li and J. Y. Halpern, _ _ Minimum- energy ...
  • Y. Xu, et al., _ _ Ge _ graphy- informed ...
  • Y. Yu, Estrin, D., Govindan, R., "Geographical and energy awar ...
  • Q. Gao, et al., "Radio range adjustment for energy efficient ...
  • S. Tang and W. Li, "QoS supporting and optimal energy ...
  • Y. Zhang, et al., "Smart routing with learning-based QoS-aware meta- ...
  • R. A. Guerin and A Orda, "QoS routing in networks ...
  • D. H. Lorenz and A Orda, "QoS routing in networks ...
  • P. Yantao and L. Xicheng, _ Energy- efficient lifetime maximization ...
  • Q. Qinru, et al., "Lifetime aware resource management for sensor ...
  • N. Saxena, et al., "QuESt: A QoS-based energy efficient sensor ...
  • N. Srinivas and D Kalyanmoy, "Muiltiobj ective optimization using nondominated ...
  • D. S. J. De Couto et al., "A hi gh-throughput ...
  • J. Tang, et al., "Relay node placement in large scale ...
  • نمایش کامل مراجع