Lossless Data Compression of Wireless Sensor in Bridge Inspection System

In bridge inspection using wireless technology, the sensor node carries very limited energy.In this paper, data compression technology to reduce the amount of communication data by sacrificing data accuracy is introduced.The lossless data compression algorithm was chosen as the algorithm of the bridge inspection system, and the algorithm was further improved.In addition, we compared the compression rates and execution times of the Huffman, Lempel-Ziv-Storer-Szymanski (LZSS), and improved Lempel-Ziv-Welch (LZW) algorithms.The results showed that the improved LZW algorithm is highly adaptable, accommodates any type of input data, and can make full use of the repeatability of data.Therefore, this lossless data compression algorithm is suitable for application in the wireless sensor networks of bridge inspection systems.

Authors

Publication Details

Journal
Sensors and Materials
Published
2024-12-19
DOI
https://doi.org/10.18494/sam5120
Citations
1
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lossless Data Compression of Wireless Sensor in Bridge Inspection System

Cairong Ni, Zhengwei Ni, Shuri Cai
1 citations
Sensors and Materials
Advanced Sensor and Control Systems
0.33
article

Lossless Data Compression of Wireless Sensor in Bridge Inspection System

Cairong Ni, Zhengwei Ni, Shuri Cai
article en
1 citations

Abstract

In bridge inspection using wireless technology, the sensor node carries very limited energy.In this paper, data compression technology to reduce the amount of communication data by sacrificing data accuracy is introduced.The lossless data compression algorithm was chosen as the algorithm of the bridge inspection system, and the algorithm was further improved.In addition, we compared the compression rates and execution times of the Huffman, Lempel-Ziv-Storer-Szymanski (LZSS), and improved Lempel-Ziv-Welch (LZW) algorithms.The results showed that the improved LZW algorithm is highly adaptable, accommodates any type of input data, and can make full use of the repeatability of data.Therefore, this lossless data compression algorithm is suitable for application in the wireless sensor networks of bridge inspection systems.

Sensors and MaterialsVol. 36(12)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Sensor and Control Systems
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.