SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types
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| Publicat a: | The Journal of Supercomputing vol. 81, no. 2 (Jan 2025), p. 392 |
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| Altres autors: | , , , |
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Springer Nature B.V.
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| 024 | 7 | |a 10.1007/s11227-024-06667-9 |2 doi | |
| 035 | |a 3256604256 | ||
| 045 | 2 | |b d20250101 |b d20250131 | |
| 100 | 1 | |a Kadhum Idrees, Sara |u Université de Technologie de Belfort Montbéliard, UTBM, CIAD (UMR 7533), Belfort, France (GRID:grid.23082.3b) (ISNI:0000 0001 2175 8847); University of Babylon, Department of Information Networks, College of Information Technology, Babylon, Iraq (GRID:grid.427646.5) (ISNI:0000 0004 0417 7786) | |
| 245 | 1 | |a SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types | |
| 260 | |b Springer Nature B.V. |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The Internet of Things (IoT) is an essential platform for industrial applications since it enables massive systems connecting many IoT devices for analytical data collection. This attribute is responsible for the exponential development in the amount of data created by IoT devices. IoT devices can generate voluminous amounts of data, which may place extraordinary demands on their limited resources, data transfer bandwidths, and cloud storage. Using lightweight IoT data compression techniques is a practical way to deal with these problems. This paper presents adaptable lightweight SZ lossy compression algorithm for IoT devices (SZ4IoT), a lightweight and adjusted version of the SZ lossy compression method. The SZ4IoT is a local (non-distributed) and interpolation-based compressor that can accommodate any sensor data type and can be implemented on microcontrollers with low resources. It operates on univariate and multivariate time series. It was implemented and tested on various devices, including the ESP32, Teensy 4.0, and RP2040, and evaluated on multiple datasets. The experiments of this paper focus on the compression ratio, compression and decompression time, normalized root mean square error (NRMSE), and energy consumption and prove the effectiveness of the proposed approach. The compression ratio outperforms LTC, WQT RLE, and K RLE by two, three, and two times, respectively. The proposed SZ4IoT decreased the consumed energy for the data size 40 KB by 31.4, 29.4, and 27.3% compared with K RLE, LTC, and WQT RLE, respectively. In addition, this paper investigates the impact of stationary versus non-stationary time series datasets on the compression ratio. | |
| 653 | |a Data transfer (computers) | ||
| 653 | |a Datasets | ||
| 653 | |a Internet of Things | ||
| 653 | |a Wavelet transforms | ||
| 653 | |a Data compression | ||
| 653 | |a Signal processing | ||
| 653 | |a Sensors | ||
| 653 | |a Approximation | ||
| 653 | |a Industrial applications | ||
| 653 | |a Algorithms | ||
| 653 | |a Devices | ||
| 653 | |a Data storage | ||
| 653 | |a Time series | ||
| 653 | |a Energy consumption | ||
| 653 | |a Compression ratio | ||
| 653 | |a Data collection | ||
| 653 | |a Efficiency | ||
| 700 | 1 | |a Azar, Joseph |u University of Franche-Comté, FEMTO-ST Institute, UMR 6174 CNRS, Besançon, France (GRID:grid.7459.f) (ISNI:0000 0001 2188 3779) | |
| 700 | 1 | |a Couturier, Raphaël |u University of Franche-Comté, FEMTO-ST Institute, UMR 6174 CNRS, Besançon, France (GRID:grid.7459.f) (ISNI:0000 0001 2188 3779) | |
| 700 | 1 | |a Kadhum Idrees, Ali |u University of Babylon, Department of Information Networks, College of Information Technology, Babylon, Iraq (GRID:grid.427646.5) (ISNI:0000 0004 0417 7786); University of Applied Science and Arts, Smart Edge Lab, Faculty of Computer Science, Dortmund, Germany (GRID:grid.449119.0) (ISNI:0000 0004 0548 7321) | |
| 700 | 1 | |a Gechter, Franck |u Université de Technologie de Belfort Montbéliard, UTBM, CIAD (UMR 7533), Belfort, France (GRID:grid.23082.3b) (ISNI:0000 0001 2175 8847) | |
| 773 | 0 | |t The Journal of Supercomputing |g vol. 81, no. 2 (Jan 2025), p. 392 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3256604256/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3256604256/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3256604256/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |