Performance Evolution & Analysis of Various Lossless Compression Algorithm over Body Sensor Network Data

For every BSN system data compression is very important concern. The compression is necessary in BSN system mainly due to limited battery power at the nodes and also because data has to be sent in a limited time period after generation. Since BSN data is a set of physiological values of patient generated from patient or human body so data compression algorithm must be lossless. Compressed data helps in better utilization of available network and helps to preserve the energy of networks because a BSN data file with reduced size requires less time to reach the other end of the network. Thus the compression and decompression algorithm must be reasonably effective in establishing efficient communication over the computer network for sending BSN data. There are number of data compression algorithms, which are used to compress different data of different formats. This paper presents an evaluation and performance analysis of some lossless data compression algorithms commonly available in term of Compression Ratio, compressionFactor, Saving Percentage, Compression & Decompression Time.