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Image Compression in Wireless sensor networks- A survey

by M.sheik Dawood, L.ahila, S.sadasivam
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 9
Year of Publication: 2012
Authors: M.sheik Dawood, L.ahila, S.sadasivam
10.5120/ijais12-450227

M.sheik Dawood, L.ahila, S.sadasivam . Image Compression in Wireless sensor networks- A survey. International Journal of Applied Information Systems. 1, 9 ( April 2012), 11-15. DOI=10.5120/ijais12-450227

@article{ 10.5120/ijais12-450227,
author = { M.sheik Dawood, L.ahila, S.sadasivam },
title = { Image Compression in Wireless sensor networks- A survey },
journal = { International Journal of Applied Information Systems },
issue_date = { April 2012 },
volume = { 1 },
number = { 9 },
month = { April },
year = { 2012 },
issn = { 2249-0868 },
pages = { 11-15 },
numpages = {9},
url = { https://www.ijais.org/archives/volume1/number9/115-0227/ },
doi = { 10.5120/ijais12-450227 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:41:58.702590+05:30
%A M.sheik Dawood
%A L.ahila
%A S.sadasivam
%T Image Compression in Wireless sensor networks- A survey
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 1
%N 9
%P 11-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor networks are battery powered due to which their lifetime is precisely limited. In this type of network the nodes commonly have very limited resources in terms of processing power, bandwidth and energy. Efficient coding of the multimedia content is therefore important. One possible way of achieve maximum utilization of those resource is applying compression on sensor event Usually, processing data consumes much less power than transmitting data in wireless medium, so it is effective to apply compression before transmitting data for reducing total power consumption by a sensor node. In this paper various energy efficient image compression techniques Collaborative image transmission using Sobal edge-detection, JPEG2000 image compression, Image Subtraction with Quantization of image; Adaptive Compression and Spatial Correlation-Based Image Compression are discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

: Image Compression Energy Efficiency Sensor Network

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