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首页> 外文期刊>International journal of communication systems >Analysis, design and simulation of Internet of Things routingalgorithm based on ant colony optimization
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Analysis, design and simulation of Internet of Things routingalgorithm based on ant colony optimization

机译:路由互联网的分析,设计和仿真基于蚁群优化的算法

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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:在本文中,提出了一种用于优化在物联网内(物联网)系统中的发送数据的最佳路径选择的路由算法。该算法控制IOT系统中的蚁群思想的使用,以获得最佳的路由效益。它将IOT环境划分为分类区域,具体取决于网络类型。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IOT系统的情况下可能出现的相交区域中的路由问题。最后,网络模拟器2用于评估所提出的算法性能。仿真结果证明了所提出的路由算法在端到端延迟,丢包比,带宽消耗,吞吐量,控制比特开销和能量消耗比率方面的有效性。版权所有(c)2016 John Wiley&Sons,Ltd。

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