MATEC Web Conf.
Volume 355, 20222021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|Number of page(s)||7|
|Section||Computing Methods and Computer Application|
|Published online||12 January 2022|
Data compression algorithms for sensor networks with periodic transmission schemes
1 Hangzhou Electric Equipment Manufacturing Co., Ltd. Hangzhou, China
2 School of Automation, Hangzhou Dianzi University, Hangzhou, China
* Corresponding author: email@example.com
The operating state of switch cabinet is significant for the reliability of the whole power system, collecting and monitoring its data through the wireless sensor network is an effective method to avoid accidents. This paper proposes a data compression method based on periodic transmission model under the condition of limited energy consumption and memory space resources in the complex environment of switch cabinet sensor networks. Then, the proposed method is rigorously and intuitively shown by theoretical derivation and algorithm flow chart. Finally, numerical simulations are carried out and compared with the original data. The comparisons of compression ratio and error results indicate that the improved algorithm has a better effect on the periodic sensing data with interference and can make sure the change trend of data by making certain timing sequence.
Key words: Wireless sensor network / Data compression / Periodic transmission model / Pearson correlation coefficient / Outlier
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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