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Reseach Article

Implementation of Modified Huffman Coding in Wireless Sensor Networks

by M. Malleswari, B. Ananda Krishna, N. Madhuri, M. Kalpana Chowdary
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 1
Year of Publication: 2017
Authors: M. Malleswari, B. Ananda Krishna, N. Madhuri, M. Kalpana Chowdary
10.5120/ijca2017915564

M. Malleswari, B. Ananda Krishna, N. Madhuri, M. Kalpana Chowdary . Implementation of Modified Huffman Coding in Wireless Sensor Networks. International Journal of Computer Applications. 177, 1 ( Nov 2017), 14-17. DOI=10.5120/ijca2017915564

@article{ 10.5120/ijca2017915564,
author = { M. Malleswari, B. Ananda Krishna, N. Madhuri, M. Kalpana Chowdary },
title = { Implementation of Modified Huffman Coding in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 177 },
number = { 1 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number1/28590-2017915564/ },
doi = { 10.5120/ijca2017915564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:44:41.348797+05:30
%A M. Malleswari
%A B. Ananda Krishna
%A N. Madhuri
%A M. Kalpana Chowdary
%T Implementation of Modified Huffman Coding in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 1
%P 14-17
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WSNs are composed of many autonomous devices using sensors that are capable of interacting, processing information, and communicating wirelessly with their neighbors. Though there are many constraints in design of WSNs, the main limitation is the energy consumption. For most applications, the WSN is inaccessible or it is unfeasible to replace the batteries of the sensor nodes makes the network power inefficient. Because of this, the lifetime of the network which has maximum operational time is also reduces. To make the network power efficient, different power saving/reduction algorithms are proposed by different authors. Some of the authors have achieved the low power consumption by modifying like encryption & decryption algorithms, Routing algorithms, Energy Efficient Algorithms, Compression and decompression algorithms, minimizing control packets, and many other different power reduction algorithms. Among many algorithms, we have chosen data compression techniques aiming different targets like memory, power & bandwidth reduction. To achieve our objectives, we have worked on Huffman coding - compression algorithm and updated the algorithm by including one’s complement, XOR operations and finally named as Modified Huffman Coding. The performance of the proposed model is analyzed and it is observed that, information is maximum compressed which consumes less computational power, thereby increasing the battery life.

References
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Index Terms

Computer Science
Information Sciences

Keywords

WSN Power Consumption Security Huffman Compression Decompression.