DocumentCode :
2955116
Title :
A Data Compression Algorithm Based on Adaptive Huffman Code for Wireless Sensor Networks
Author :
Yuanbin, Mo ; Yubing, Qiu ; Jizhong, Liu ; Yanxia, Ling
Author_Institution :
Coll. of Math. & Comput. Sci., Guangxi Univ. for Nat., Nanning, China
Volume :
1
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
3
Lastpage :
6
Abstract :
In order to reduce energy consumption of Wireless Sensor Network nodes, a novel compression algorithm based on the principle of Adaptive Huffman Code is proposed in the paper for the collected temperature data in real environment by the sensor nodes are continuous and slow changing. The algorithm is simple, easy to implement, and suitable for application in wireless sensor networks. To some extent, it can achieve loss less compression with required accuracy by making the full use of the difference value of the data. At the end of the paper an experiment is carried out and the result shows the algorithm is practical.
Keywords :
Huffman codes; adaptive codes; data compression; wireless sensor networks; adaptive Huffman code; data compression algorithm; energy consumption; wireless sensor networks; Clustering algorithms; Data compression; Encoding; Temperature distribution; Temperature sensors; Wireless sensor networks; Wireless Sensor Networks; adaptive Huffman code; data compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.8
Filename :
5750440
Link To Document :
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