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)

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