AP Cooperative Mobility Control for Public Mesh Network

AP Cooperative Mobility Control for Public Mesh Network
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公共网状网络的 AP 协作移动控制

DOI:
10.1109/icce56470.2023.10043506
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发表时间:
2023
期刊:
Proc. 2023 IEEE International Conference on Consumer Electronics (ICCE2023)
影响因子:
--
通讯作者:
and Tutomu Murase
and Tutomu Murase
中科院分区:
--
文献类型:
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作者:
Yudai Shibuya;Yohei Hasegawa;Hiroyasu Obata;and Tutomu Murase

文献摘要

相似文献

在公共网状网络中,我们提出了一种控制方法移动网格接入点(AP)的最佳位置,以响应交通状况的变化,并评估移动的有效性。为了适应网状网络中容纳的行人终端的动态移动,我们配置了一个网状网络与无人机内的AP和移动与无人机的AP。在计算找到最小化AP的移动距离并最大化用户流量容纳的最佳位置时,以蛮力方式找到精确解是不现实的。因此,我们提出了一种启发式方法(DMT方法),迭代应用最小生成树方法来确定所有终端的连接和弹簧平衡模型来确定最佳AP位置。该方法被证明是有效的评估结果,其中吞吐量提高了5.21倍,相比之前的移动,大约是精确解的95%。
In a public mesh network, we propose a control method to move mesh access points (APs) to optimal locations in response to traffic condition changes and evaluate the effectiveness of the move. To adapt the dynamic movement of pedestrian terminals accommodated in the mesh network, we configure a mesh network with in-UAV APs and move the APs with the UAVs. In the calculation to find the optimal location that minimizes the AP's moving distance and maximizes the user traffic accommodation, it is not realistic to find the exact solution in brute force ways. Thus, we propose a heuristic method (DMT method) that iteratively applies a minimum spanning tree method to determine the connectivity of all terminals and a spring balance model to determine the optimal AP locations. The proposed method was proven effective with the evaluation results in which throughput was improved up to 5.21 times compared to that before the move, and was approximately 95% of the exact solution.