Compression methods for microclimate data based on linear approximation of sensor data
Abstract
Edge computing is currently one of the main research topics in the field of Internet of Things. Edge computing requires lightweight and computationally simple algorithms for sensor data analytics. Sensing edge devices are often battery powered and have a wireless connection. In designing edge devices the energy efficiency needs to be taken into account. Pre-processing the data locally in the edge device reduces the amount of data and thus decreases the energy consumption of wireless data transmission. Sensor data compression algorithms presented in this paper are mainly based on data linearity. Microclimate data is near linear in short time window and thus simple linear approximation based compression algorithms can achieve rather good compression ratios with low computational complexity. Using these kind of simple compression algorithms can significantly improve the battery and thus the edge device lifetime. In this paper linear approximation based compression algorithms are tested to compress microclimate data.
Main Authors
Format
Conferences
Conference paper
Published
2019
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201909184208Use this for linking
Parent publication ISBN
978-3-030-30858-2
Review status
Peer reviewed
ISSN
0302-9743
DOI
https://doi.org/10.1007/978-3-030-30859-9_3
Conference
Conference on Internet of Things and Smart Spaces
Language
English
Published in
Lecture Notes in Computer Science
Is part of publication
NEW2AN 2019, ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : Proceedings of the 19th International Conference on Next Generation Wired/Wireless Networking, and 12th Conference on Internet of Things and Smart Spaces
Citation
- Väänänen, O., & Hämäläinen, T. (2019). Compression methods for microclimate data based on linear approximation of sensor data. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), NEW2AN 2019, ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : Proceedings of the 19th International Conference on Next Generation Wired/Wireless Networking, and 12th Conference on Internet of Things and Smart Spaces (pp. 28-40). Springer. Lecture Notes in Computer Science, 11660. https://doi.org/10.1007/978-3-030-30859-9_3
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