计算机应用 ›› 2012, Vol. 32 ›› Issue (07): 1920-1923.DOI: 10.3724/SP.J.1087.2012.01920

• 先进计算 • 上一篇    下一篇

基于HBase的大规模无线传感网络数据存储系统

陈庆奎,周利珍   

  1. 上海理工大学 光电信息与计算机工程学院,上海200093
  • 收稿日期:2011-12-13 修回日期:2012-02-07 发布日期:2012-07-05 出版日期:2012-07-01
  • 通讯作者: 周利珍
  • 作者简介:陈庆奎(1966-),男,上海人,教授,博士生导师,主要研究方向:集群计算、并行计算;周利珍(1987-),女,安徽安庆人,硕士研究生,主要研究方向:物联网。
  • 基金资助:

    国家自然科学基金资助项目(60970012;61003031);上海信息技术领域重点科技攻关项目(09511501000);上海重点科技项目(09220502800);上海市重点学科建设项目(S30501)

HBase-based storage system for large-scale data in wireless sensor network

CHEN Qing-kui,ZHOU Li-zhen   

  1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2011-12-13 Revised:2012-02-07 Online:2012-07-05 Published:2012-07-01
  • Contact: ZHOU Li-zhen
  • Supported by:

    the National Natural Science Foundation of China under Grant

摘要: 无线传感网络(WSN)存在分布的跨区域性,随着无线传感网络的扩张,传感器数目增多,将产生大规模的传感数据。针对存储大规模无线传感网络数据的问题,提出了一个两层分布式存储架构,使用分布式数据库HBase存储跨区域的无线传感网络数据和全局数据存储管理目录,实现一个近实时的存储系统。实验结果证明,该系统有良好的扩展性、存储和查询效率。

关键词: 云计算, HBase, 分布式存储, 无线传感网络, 物联网

Abstract: Wireless Sensor Network (WSN) spreads widely, and with the expansion of WSNs there will be a large number of sensors which produce massive sensor data. To store the data from large-scale WSNs, this paper proposed a two-tier storage architecture based on HBase storing sensor data from different regions and global data management directory, which achieved a near real-time storage system. The experimental results show that this system with high scalability, storage and query efficiency can solve the massive sensor data storage.

Key words: cloud computing, HBase, distributed storage, Wireless Sensor Network (WSN), Internet of Things (IoT)

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