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Resource scheduling based on routing tree and detection matrix for Internet of things

机译:基于路由树和检测矩阵的资源调度

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Effective scheduling of limited communication resources is one of the critical methods for data transmission in the Internet of things. However, the time slot utilization rate of many existing resource scheduling methods of Internet of things is not high. This article proposes a new efficient resource scheduling based on routing tree and detection matrix for Internet of things. In heterogeneous Internet of things, according to the different working modes and functions, the nodes are divided into Internet of things devices, routing nodes, and base station. We use time slot multiplexing to improve the time slot utilization of continuous transmission in Internet of things. First, the time slot allocation table in a round is obtained by the time slot scheduling based on the routing tree. Then, the collision matrix and the transmission matrix are established based on the time slot allocation table in a round. Finally, the minimum time slot scheduling in continuous rounds is determined based on the routing tree and the detection matrix. The experimental results show that the resource scheduling based on routing tree and detection matrix effectively improves the utilization of time slots and improves the throughput of the Internet of things.
机译:有限通信资源的有效调度是物联网中数据传输的关键方法之一。但是,许多现有资源调度方法的时隙利用率的东西不高。本文提出了一种基于路由树和检测矩阵的新的高效资源调度。在异构互联网上,根据不同的工作模式和功能,节点被分成用于设备设备,路由节点和基站的Internet。我们使用时隙复用来提高连续传输在物联网上的时隙利用率。首先,通过基于路由树的时隙调度获得圆的时隙分配表。然后,基于圆形时隙分配表建立碰撞矩阵和传输矩阵。最后,基于路由树和检测矩阵确定连续圆数的最小时隙调度。实验结果表明,基于路由树和检测矩阵的资源调度有效地提高了时隙的利用,提高了物联网的吞吐量。

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