Open AccessVideo-Like Lossless Compression of Data Cube for Big Data Query in Wireless Sensor Networks
Author(s) -
Ray-I Chang,
Yen-Ping Chu,
Chia-Hui Wang,
Niang-Ying Huang
Publication year - 2021
Publication title -
wseas transactions on communications/wseas transactions on communications
Language(s) - English
Resource type - Journals
eISSN - 2224-2864
pISSN - 1109-2742
DOI - 10.37394/23204.2021.20.19
Subject(s) - computer science , lossless compression , wireless sensor network , data compression , server , cloud computing , big data , database , data cube , real time computing , computer network , data mining , algorithm , operating system
Wireless Sensor Networks (WSNs) contain many sensor nodes which are placed in chosen spatial area to temporally monitor the environmental changes. As the sensor data is big, it should be well organized and stored in cloud servers to support efficient data query. In this paper, we first adopt the streamed sensor data as "data cubes" to enhance data compression by video-like lossless compression (VLLC). With layered tree structure of WSNs, compression can be done on the aggregation nodes of edge computing. Then, an algorithm is designed to well organize and store these VLLC data cubes into cloud servers to support cost-effect big data query with parallel processing. Our experiments are tested by real-world sensor data. Results show that our method can save 94% construction time and 79% storage space to achieve the same retrieval time in data query when compared with a well-known database MySQL