Performance Improvement for Weather Wireless Sensor Network by Mixed-Byte Compression Scheme

A Weather Wireless Sensor Network (WWSN) has many limitations related to node throughput (NT), node power (P), and node energy (E). To address the limitations of WWSN, a mixed-byte LZW scheme is proposed. Mixed-Byte reduces the size of the sensed data by merging every two readings of data from the sensor into a single byte. The merged bytes would be highly frequent, which made them appropriate for compression by the Lempel Ziv Welsh (LZW) scheme. The result shows that the proposed Mixed-Byte-LZW gives the best compression ratio (CR) (0.01) for humidity and the best saving compressing rate (SR) (99%) for humidity and pressure. The simulated result shows that the Mixed-Byte-LZW scheme gives the best NT (580 Kbps) for humidity, the highest power saving (PS) (15.98 Kw) for pressure, and the lowest E (0.39 Kj) for transferring humidity data.

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Publication Details

Journal
Iraqi Journal of Science
Published
2024-12-30
DOI
https://doi.org/10.24996/ijs.2024.65.12.36
Primary Topic
Wireless Sensor Networks and IoT
Type
article
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article

Performance Improvement for Weather Wireless Sensor Network by Mixed-Byte Compression Scheme

Saif Al-Alak
Iraqi Journal of Science
Wireless Sensor Networks and IoT
article

Performance Improvement for Weather Wireless Sensor Network by Mixed-Byte Compression Scheme

Saif Al-Alak
article en

Abstract

A Weather Wireless Sensor Network (WWSN) has many limitations related to node throughput (NT), node power (P), and node energy (E). To address the limitations of WWSN, a mixed-byte LZW scheme is proposed. Mixed-Byte reduces the size of the sensed data by merging every two readings of data from the sensor into a single byte. The merged bytes would be highly frequent, which made them appropriate for compression by the Lempel Ziv Welsh (LZW) scheme. The result shows that the proposed Mixed-Byte-LZW gives the best compression ratio (CR) (0.01) for humidity and the best saving compressing rate (SR) (99%) for humidity and pressure. The simulated result shows that the Mixed-Byte-LZW scheme gives the best NT (580 Kbps) for humidity, the highest power saving (PS) (15.98 Kw) for pressure, and the lowest E (0.39 Kj) for transferring humidity data.

Iraqi Journal of Science
University of Babylon (IQ)
Affordable and clean energy
Openalex Percentile: Top 70%
Wireless Sensor Networks and IoT
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