A Huffman based lossless compression algorithm for wireless sensor networks

Author

Mehfuz, Shabana ; Tiwari, Usha ; Rathore, Akanksha ; Arora, Abhishek ; Singh, D.

Author_Institution

Electr. Eng. Dept., Jamia Millia Islamia, New Delhi, India

fYear

2014

fDate

28-29 Nov. 2014

Firstpage

48

Lastpage

53

Abstract

Utilization of energy efficiently has been a main area of research in Wireless Sensor Networks (WSN). As sensors are battery operated, battery cannot be recharged frequently in the remote location where sensors are deployed. So energy optimization is of paramount importance to increase the battery life and hence the sensor network lifetime. Data compression can be an effective tool to reduce power consumption. In this paper, we have proposed a modified version of Huffman coding (MHC) algorithm for WSNs. We have taken data set of temperature variation from a sensing node. The compression ratio obtained is up to 64.325%, 60.51% and 63.08% for Le-Genepi deployment, Patrouille des Glaciers and St-Bernard deployment respectively.

Keywords

Huffman codes; data compression; wireless sensor networks; Huffman based lossless compression algorithm; WSN; energy optimization; modified version of Huffman coding algorithm; power consumption; wireless sensor networks; Batteries; Compression algorithms; Computational intelligence; Data compression; Temperature sensors; Wireless sensor networks; Compression Ratio; Energy Consumption; WSN;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/CIPECH.2014.7019076

Filename

7019076