...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Ad hoc networks >Energy efficient multipath ant colony based routing algorithm for mobile ad hoc networks
【24h】

Energy efficient multipath ant colony based routing algorithm for mobile ad hoc networks

机译：基于节能多径蚁群的移动临时网络路由算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper describes the novel wireless routing protocol made for mobile ad hoc networks or wireless sensor networks using the bio-inspired technique. Bio-inspired algorithms include the routing capabilities taken from the social behavior of ant colonies, bird flocking, honey bee dancing, etc and promises to be capable of catering to the challenges posed by wireless sensors. Some of the challenges of wireless sensor networks are limited bandwidth, limited battery life, low memory, etc. An energy-efficient multipath routing algorithm based on the foraging nature of ants is proposed including many meta-heuristic impact factors to provide good robust paths from source to destination to overcome the challenges faced by resource-constrained sensors. Analysis of individual impact factor is represented which justifies their importance in routing performance. The multi-path routing feature is claimed by showing energy analysis as well as statistical analysis in-depth to the readers. The proposed routing algorithm is analyzed by considering various performance metrics such as throughput, delay, packet loss, network lifetime, etc. Finally, the comparison is done against AODV routing protocol by considering performance metrics where the proposed routing algorithm shows a 49% improvement in network lifetime.
机译：本文介绍了使用生物启发技术为移动临时网络或无线传感器网络制作的新型无线路由协议。生物启发算法包括从蚁群，鸟类植绒，蜂蜜蜜蜂舞蹈等的社会行为所采取的路由能力，以及承诺能够迎合无线传感器所带来的挑战。无线传感器网络的一些挑战是带宽的有限，电池寿命，低存储器等有限。提出了一种基于蚂蚁的觅食性质的节能多径路由算法，包括许多元启发式影响因素来提供良好的强大路径源到目的地以克服资源受限传感器面临的挑战。代表了对个体影响因素的分析，证明了它们在路由性能方面的重要性。通过显示能量分析以及对读者深入的统计分析来索赔多路径路由特征。通过考虑吞吐量，延迟，丢包，网络生命周期等的各种性能度量来分析所提出的路由算法。最后，通过考虑所提出的路由算法显示49％改进的性能度量，对AODV路由协议进行比较网络生命周期。

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