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.
KRISHNAN, V. and TRINADH, R.
"A LOW POWER NEW DATA COMPRESSION ALGORITHM FOR WIRE/WIRELESS SENSOR NETWORKS USING K-RLE,"
International Journal of Electronics Signals and Systems: Vol. 4:
2, Article 6.
Available at: https://www.interscience.in/ijess/vol4/iss2/6