Abstract
Aiming at the perception data acquired by the widely used, fast-developing but still not perfect wireless sensor network system, a relatively complete and universal system for the collection, transmission, storage and cluster analysis of perception data is designed. Perception data is spliced and compressed at the node and reconstructed at the base station, the problem of the acquisition of perception data and energy consumption of transmission is optimized, the distributed storage system is established, and the data reading mechanism and data storage architecture are designed accordingly.The data acquisition protocol and the traditional protocol, the storage system itself and the Oracle database system, and Standard Deviation and Eigensystem Realization Algorithm are respectively adopted for comparison test.Based on Standard Deviation algorithm, the operation of suffix tree clustering is carried out, and the general steps of suffix tree clustering are studied and the structure of perception data and the characteristics of storage are adapted, and the data classification operation based on suffix tree clustering is completed. The results show that proposed Standard Deviationalgorithm algorithm not only inherits the efficiency of the classical algorithm for processing big data, but also has obvious effect on large-scale discrete data processing, and the efficiency is obviously improved compared with the traditional method.
Highlights
With the development of the Internet, big data technology has gradually replaced traditional network technology and has become the trend and mainstream of the current Internet development
After the clustering is completed, the category information is provided to the user who needs further operations and the current result is stored in the corresponding field of the storage system
In terms of sensing data acquisition and storage, firstly, aiming at the real-time transmission requirements of data for most sensor networks and the special requirements of energy saving for sensor networks, a new data node is proposed to splicing and compressing the collected data
Summary
With the development of the Internet, big data technology has gradually replaced traditional network technology and has become the trend and mainstream of the current Internet development. The sensory data of wireless sensor networks is an important part of current big data. It plays an important role in people's daily life, scientific research, business data analysis, service industry and even military field. The problem of real-time data transmission due to the limited energy carrying capacity of the node itself has always been the research core of sensory data acquisition [1]. Academics and industry are studying the energy-saving issues of real-time data transmission. It is working on a big data storage system for storing discrete content such as perceptual data with the above characteristics
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