首页> 外文期刊>International journal of communication systems >Analysis, design and simulation of Internet of Things routingrnalgorithm based on ant colony optimization
【24h】

Analysis, design and simulation of Internet of Things routingrnalgorithm based on ant colony optimization

机译:基于蚁群优化的物联网路由算法分析,设计与仿真

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In this paper, a routing algorithm to optimize the selection of the best path for the transmitted data within the Internet of Things (IoT) system is proposed. The algorithm controls the use of ant colony ideas in the IoT system to obtain the best routing benefit. It divides the IoT environment into categorized areas depending on network types. Then, it applies the most suitable ant colony algorithm to the concerned network within each area. Furthermore, the algorithm considers routing problem in intersected areas that may arise in case of IoT system. Finally, Network Simulator 2 is used to evaluate the proposed algorithm performance. Simulation results demonstrate the effectiveness of the proposed routing algorithm in terms of end-to-end delay, packet loss ratio, bandwidth consumption, throughput, overhead of control bits, and energy consumption ratio. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:本文提出了一种路由算法,用于优化物联网(IoT)系统中传输数据的最佳路径的选择。该算法控制物联网系统中蚁群思想的使用,以获得最佳的路由优势。它根据网络类型将IoT环境划分为几类。然后,它将最合适的蚁群算法应用于每个区域内的相关网络。此外,该算法考虑了在物联网系统情况下可能出现的相交区域中的路由问题。最后,使用网络模拟器2评估所提出的算法性能。仿真结果从端到端时延,丢包率,带宽消耗,吞吐量,控制位开销和能耗比等方面证明了该路由算法的有效性。版权所有(C)2016 John Wiley&Sons,Ltd.

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