{"title":"Movement control of APs constituting a mesh network considering AP movement constraints","authors":"Ryoga Hashimoto, Satoshi Makido, Tutomu Murase","doi":"10.1109/ICCE59016.2024.10444486","DOIUrl":null,"url":null,"abstract":"We propose a relay AP movement control method for ad-hoc networks where the APs constitute a mobile infrastructure that responds to hotspot position changes under movement constraints. The proposed method moves the relay AP to an optimal position while considering the constraints of movable position. We consider a virtual spring to the spring model to apply the movement constraints. The proposed method uses a spring model after placing virtual terminals and APs at positions symmetrical to the axis of the movement of the relay AP. We evaluated the proposed method assuming a mesh network with terminals along roads. To clarify the impact of the road widths, we varied the road width and the amount of terminal traffic from the initial placement for our evaluation. This is because the effect of road width cannot be ignored due to the short transmission distance of IEEE802.11. The position of terminal movement in the spring model highly depends on the overflow conditions of the communication link. The evaluation results showed that the throughput degradation from the optimum position is reduced by 24% compared to the extended conventional method, which moves the terminal freely and then moves it within the movement constraint when the road width is 23 m. Compared to the optimal position, the proposed method degraded the throughput by about 8% and achieved near-optimal relay AP movement control.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"73 6","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE59016.2024.10444486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We propose a relay AP movement control method for ad-hoc networks where the APs constitute a mobile infrastructure that responds to hotspot position changes under movement constraints. The proposed method moves the relay AP to an optimal position while considering the constraints of movable position. We consider a virtual spring to the spring model to apply the movement constraints. The proposed method uses a spring model after placing virtual terminals and APs at positions symmetrical to the axis of the movement of the relay AP. We evaluated the proposed method assuming a mesh network with terminals along roads. To clarify the impact of the road widths, we varied the road width and the amount of terminal traffic from the initial placement for our evaluation. This is because the effect of road width cannot be ignored due to the short transmission distance of IEEE802.11. The position of terminal movement in the spring model highly depends on the overflow conditions of the communication link. The evaluation results showed that the throughput degradation from the optimum position is reduced by 24% compared to the extended conventional method, which moves the terminal freely and then moves it within the movement constraint when the road width is 23 m. Compared to the optimal position, the proposed method degraded the throughput by about 8% and achieved near-optimal relay AP movement control.
我们提出了一种用于 ad-hoc 网络的中继接入点移动控制方法,在这种网络中,接入点构成了移动基础设施,可在移动限制条件下对热点位置变化做出响应。所提出的方法在考虑移动位置约束的同时,将中继 AP 移动到最佳位置。我们考虑在弹簧模型中加入虚拟弹簧来应用移动约束。将虚拟终端和 AP 放置在与中继 AP 移动轴对称的位置后,我们提出的方法就使用了弹簧模型。我们假定了一个网状网络,其终端沿道路分布,并对所提出的方法进行了评估。为了明确道路宽度的影响,我们在评估时改变了道路宽度和终端流量。这是因为,由于 IEEE802.11 的传输距离较短,道路宽度的影响不容忽视。在弹簧模型中,终端移动的位置在很大程度上取决于通信链路的溢出条件。评估结果表明,与扩展的传统方法相比,最佳位置的吞吐量降低了 24%,传统方法是在道路宽度为 23 米时自由移动终端,然后在移动限制范围内移动终端。