基于校园大数据的无线网络AP布局优化

高校无线网络管理与服务存在两个问题：一是无线网络AP布局和服务质量检测缺乏数据支持，主观性强；二是被动收集师生使用体验反馈，范围小，准确性低.针对这些问题，该文提出了一种基于校园大数据的无线网络AP动态布局模型.该模型的特点是数据驱动和动态优化.通过在华中师范大学的应用探索，表明该模型能够有效提高校园无线网络的服务质量，优化学校无线网络管理流程.

AP layout optimization method of wireless network based on campus Big Data

There are two problems in wireless network management and service in colleges and universities. The first is that the AP layout and service quality detection of wireless network are lack of data support and subjective. The second is the small scope and low accuracy of the passive collection of teachers and students use experience feedback. To solve these problems， this paper proposes a wireless network AP dynamic layout model based on campus Big Data. The model is characterized by data-driven and dynamic optimization. Through the application exploration in central China normal university， it is shown that this model can improve the service quality of campus wireless network and optimize the management process of campus wireless network effectively.