A Construction Method of Wireless AP Data Warehouse based on Anomaly Identification and Lossy Compression

LI Ming; LI Ming-chun; LIU Shi-chao

doi:10.13756/j.gtxyj.2022.05.013

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A Construction Method of Wireless AP Data Warehouse based on Anomaly Identification and Lossy Compression

更新时间：2023-01-29

- A Construction Method of Wireless AP Data Warehouse based on Anomaly Identification and Lossy Compression
- Study on Optical Communications Issue 5, Pages: 74-78(2022)
- 作者机构：
  
  烽火通信科技股份有限公司，武汉　430074
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.05.013
  CLC： TP311.13
- Published：10 October 2022，
  
  Received：23 March 2022，
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LI Ming, LI Ming-chun, LIU Shi-chao. A Construction Method of Wireless AP Data Warehouse based on Anomaly Identification and Lossy Compression. [J]. Study on Optical Communications (5):74-78(2022)
DOI：

LI Ming, LI Ming-chun, LIU Shi-chao. A Construction Method of Wireless AP Data Warehouse based on Anomaly Identification and Lossy Compression. [J]. Study on Optical Communications (5):74-78(2022) DOI： 10.13756/j.gtxyj.2022.05.013.

摘要

针对近年来电气和电子工程师协会（IEEE）802.11所定义的无线网络通信标准的全面普及，设备使用量和物联（IoT）数据激增，网络传输压力大，数据管理难，数据安全风险大等问题，基于多年的WiFi无线访问接入点（AP）管理以及数据仓库实施经验，文章实现了基于异常识别与有损压缩的无线AP数仓的构建。仿真结果表明，通过对无线AP重复性较高数据的异常识别以及有损压缩，能够切实解决网络设备重复和数据量过大导致的分布式数据仓库存储压力大及通信拥堵问题，大大降低了企业构建物联网数据仓库的成本。

Abstract

In response of the comprehensive popularization of Institute of Electrical and Electronics Engineers (IEEE) 802.11 in recent years

the rapid increase of Internet of Things (IoT) data has brought about problems such as high network transmission pressure

difficult data management

and high data security risks. Based on years of experience in WiFi wireless Access Point (AP) management and data warehouse implementation

this article expounds a construction method of wireless AP data warehouse based on anomaly identification and lossy compression. The results show that the abnormal identification and lossy compression of data with high repeatability of wireless AP can effectively solve the problems of high storage pressure and communication congestion in distributed data warehouses which caused by the excessive amount of repeated data of network equipment

and greatly reduce the overall cost when the company implement the data warehouse with IoT datas.

关键词

无线访问接入点异常数据识别数据仓库物联网

Keywords

wireless APabnormal data recognitiondata warehouseIoT

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