Data compression algorithms for sensor networks with periodic transmission schemes

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 und...

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Vydáno v:MATEC web of conferences Ročník 355; s. 3003
Hlavní autoři: Chen, Jianxin, Wang, Pengcheng, Ren, Xinzhuo, Meng, Haojie, Xu, Yinfei, Zhuge, Jiaqiang
Médium: Journal Article Konferenční příspěvek
Jazyk:angličtina
Vydáno: Les Ulis EDP Sciences 2022
Témata:
Algorithms
Cabinets
Compression ratio
Data compression
Energy consumption
Flow charts
Mathematical models
outlier
pearson correlation coefficient
periodic transmission model
Sensors
wireless sensor network
Wireless sensor networks
ISSN:2261-236X, 2274-7214, 2261-236X
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Shrnutí: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.
Bibliografie:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/202235503003