In wireless sensor network, the storage amount of information is high, and the transmission and scheduling of control information is reasonable. The node communication model, network structure model, and energy consumption model are constructed. On this basis, the high-density data in wireless sensor network are scheduled to optimize the time for nodes to perform tasks. The nodes in the network are fully scheduled to control the generation time of packets in the network and the generation time of packets in the network. Experimental results show that in different iterations, the proposed method has lower node delay and node energy consumption, with values less than 0.2 and 2, respectively, and the maximum data fusion quality can reach 98, with high fusion benefits, so as to improve the transmission and scheduling efficiency and quality of high-density data in wireless sensor network.

中文翻译：

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基于Wi-Fi的无线传感器网络高密度数据传输与调度方法

在无线传感器网络中，信息存储量大，控制信息的传输和调度合理。构建了节点通信模型、网络结构模型和能耗模型。在此基础上，对无线传感器网络中的高密度数据进行调度，优化节点执行任务的时间。网络中的节点完全调度以控制网络中数据包的生成时间和网络中数据包的生成时间。实验结果表明，在不同的迭代中，该方法具有较低的节点延迟和节点能耗，分别小于0.2和2，数据融合质量最高可达98，融合效益高，