Open AccessA LOW POWER NEW DATA COMPRESSION ALGORITHM FOR WIRE/WIRELESS SENSOR NETWORKS USING K-RLE
Author(s) -
Venkatesan V. Krishnan,
R. Trinadh
Publication year - 2014
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2014.1204
Subject(s) - data compression , compression ratio , computer science , algorithm , compression (physics) , wireless sensor network , data compression ratio , encoding (memory) , process (computing) , reduction (mathematics) , data processing , data reduction , data transmission , real time computing , data mining , image compression , database , computer network , mathematics , engineering , artificial intelligence , image processing , materials science , composite material , image (mathematics) , geometry , automotive engineering , internal combustion engine , operating system
In this project, we propose and evaluate a new data compression algorithm inspired from Run Length Encoding called K-RLE which means RLE with a K-Precision. This increases the ratio compression compared to RLE. In order to improve the compression results with different statistics of data sources. Here we want to introduce in-network processing technique in order to save energy. In-network processing techniques allow the reduction of the amount of data to be transmitted. The well known in-network processing technique is data compression and/or data aggregation. Data compression is a process that reduces the amount of data in order to reduce data transmitted and/or decreases transfer time because the size of the data is reduced.