...
首页> 外文期刊>International Journal of Business Intelligence and Data Mining >Application of Genetic Algorithms for QoS routing in mobile ad-hoc networks: approaches and solutions
【24h】

Application of Genetic Algorithms for QoS routing in mobile ad-hoc networks: approaches and solutions

机译:遗传算法在移动自组网QoS路由中的应用:方法和解决方案

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Most of the routing solutions in ad-hoc networks deal with the best-effort data traffic. Connections with Quality of Service (QoS) requirements are not supported. In this paper, we survey the research work on application of Genetic Algorithms (GAs) for QoS routing in ad-hoc networks. We present different approaches and give a comparison study between GA-based routing algorithms: GAMAN and GLBR. The performance evaluation via simulations shows that the GAMAN algorithm has better behaviour than GAMAN-1 and GLBR algorithms and is a promising algorithm for QoS routing in Ad-Hoc networks. Finally, we discuss some improvements of GAMAN and investigated some future work.
机译:临时网络中的大多数路由解决方案都处理尽力而为的数据流量。不支持具有服务质量(QoS)要求的连接。在本文中,我们调查了遗传算法(GA)在ad-hoc网络中用于QoS路由的研究工作。我们提出了不同的方法,并给出了基于GA的路由算法GAMAN和GLBR之间的比较研究。仿真结果表明,GAMAN算法的行为优于GAMAN-1和GLBR算法,是Ad-Hoc网络中QoS路由的一种有前途的算法。最后,我们讨论了GAMAN的一些改进,并研究了一些未来的工作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号