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An efficient intelligent algorithm based on WSNs of the drug control system

机译:一种基于WSN的药物控制系统的高效智能算法

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A new algorithm, ACORS-ANNDPF for WSNs, is proposed in this paper to improve the utilization rate of WSNs and prolong the life cycle of the IoT. Developed on the basis of ant colony algorithm, the improved algorithm is applicable to the selection of the optimal path and identification of the optimal routing node in the case of losing the routing node. To reduce the time spent on transferring network packets, the indices are selected by the neural network algorithm in light of the actual application environment and adjusted to optimize the fusion of packet data. After that, the author carries out several simulation experiments and compares the proposed algorithm with other algorithms. The results demonstrate that the proposed algorithm ensures high energy efficiency and balanced energy consumption. Therefore, it is concluded that the proposed algorithm can improve network utilization rate and lead to better network transmission performance.
机译:本文提出了一种新的算法,用于WSN的ACORS-AnndPF,提高了WSN的利用率,延长了物联网的生命周期。在蚁群算法的基础上开发,改进的算法适用于在丢失路由节点的情况下选择最佳路径和识别最佳路由节点。为了减少在传输网络数据包上所花费的时间,根据实际应用环境,通过神经网络算法选择指标,并调整以优化分组数据的融合。之后,作者进行了多个模拟实验并将所提出的算法与其他算法进行比较。结果表明,该算法确保了高能量效率和平衡的能耗。因此,得出结论,该算法可以提高网络利用率并导致更好的网络传输性能。

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