A novel HBase data storage in wireless sensor networks

EURASIP Journal on Wireless Communications and Networking, Mar 2017

Based on the characteristics of data storage structure of HBase, and under the guidance of the storage optimization strategy, an efficient real-time storage model is designed. The real-time flow of data, which has fast storage in the cluster database, will satisfy the user’s multiple needs of the data storage performance. Extenics primitives are used to integrate heterogeneous data-sets stored in the HBase database, cross-regional wireless sensor network data, and global data storage management catalogs for a double layer distributed storage architecture to improve storage and access efficiency. Under the circumstances that the storage space is insufficient or the storage space of the cluster text system is too massive, the HBase database cluster dynamic updating and optimizing the database space are also the research direction of this paper. Finally, the article carries on the experiment and concludes the appraisal through simulation.

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A novel HBase data storage in wireless sensor networks

Li et al. EURASIP Journal on Wireless Communications and Networking A novel HBase data storage in wireless sensor networks Xiang Li 2 Zhuo Li 0 1 3 Xirong Ma 2 Can Liu 2 0 Department of Computer Science, The University of Arizona , Tucson, Pima County, AZ 85705 , USA 1 College of Electronic and Communication Engineering, Tianjin Normal University , 300087 Tianjin , China 2 College of Computer and Information Engineering, Tianjin Normal University , 300387 Tianjin , China 3 Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University , 300087 Tianjin , China Based on the characteristics of data storage structure of HBase, and under the guidance of the storage optimization strategy, an efficient real-time storage model is designed. The real-time flow of data, which has fast storage in the cluster database, will satisfy the user's multiple needs of the data storage performance. Extenics primitives are used to integrate heterogeneous data-sets stored in the HBase database, cross-regional wireless sensor network data, and global data storage management catalogs for a double layer distributed storage architecture to improve storage and access efficiency. Under the circumstances that the storage space is insufficient or the storage space of the cluster text system is too massive, the HBase database cluster dynamic updating and optimizing the database space are also the research direction of this paper. Finally, the article carries on the experiment and concludes the appraisal through simulation. Wireless sensor network; HBase; Cluster; Real-time storage; Hadoop 1 Introduction With the development of Internet of Things in China, there are problems of a large amount of information in information technology, and as the information storage of the end Internet of Things, wireless sensor network spreads more widely in a larger scale and sends greater amount of information [1, 2]. The accumulation of time and the increasing amount of data storage will lead to low database performance, and the system cannot be within a reasonable time to meet the needs of the users. Therefore, according to the actual needs of the database, choosing the appropriate way to improve storage for the users and retrieval efficiency becomes more important. With the existing database based on relationship and object model, the storage of complicated data can be solved, but the cost of storage and system consumption are large [3, 4]. Wireless sensor network has high real-time requirements for data analysis, but in practical application, many deployment wireless sensor networks will lead to the current processing of sensor data [5, 6]. Therefore, the regional storage cluster needs to be built. Every region has its own storage cluster of data, and the global data memory should be built to save the information of every region. In this paper, under the guidance of the storage optimization strategy, we design an efficient real-time storage model—the real-time flow of data, which will be quickly stored in the cluster database to satisfy the multiple needs of the users who require data storage performance. In addition, the historical stream data stored in the text form will be migrated to the HBase cluster database in high efficiency and high stability. When the storage space is insufficient or the storage space of the text system of the cluster is too massive, efficient and simple dynamic updating of the HBase database cluster will help optimize the database space usage and it is discussed in this paper. 2 Wireless sensor networks The data storage of wireless sensor network is divided into internal data storage and external application data storage, and the wireless network is made by sensors and sink nodes [7, 8]. Through the wireless network communication, a large number of sensor nodes will be deployed within or near a monitoring area and a network can be constituted by self-organization [9, 10]. Wireless sensor network accumulates data collected by sensors through gathering nodes, which will realize the interaction between data and application through gateway [11, 12]. At the same time, wireless sensor network © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. has a scale and its deployment is intensive. Thousands of sensor nodes are deployed within a wider monitoring area, so as to get a large amount of information, and thousands of sensor nodes are deployed within a narrower monitoring area, so as to get accurate data. 3 Storage solutions Extenics argues that any material things and relationships in the objective world can (...truncated)


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Xiang Li, Zhuo Li, Xirong Ma, Can Liu. A novel HBase data storage in wireless sensor networks, EURASIP Journal on Wireless Communications and Networking, 2017, pp. 45, Volume 2017, Issue 1, DOI: 10.1186/s13638-017-0827-1