Abstract
Wireless sensor network vigorous research area now a day .In WSN sensor nodes are outfitted with tiny batteries having low power where power conservation is main concern to increase the network life time. In order to conserve energy by reduce the data to be send from sense nodes to sink node. Data compression is effective and well known technique, to get better compression results with varied data from data sources it is essential to introduce competent processing technique. In this paper we proposed improved data compression schemes motivated from RLE and K RLE. The proposed algorithm enhances the compression ratio in comparison of K-RLE and RLE. The result shows that our compression algorithms efficiently enhance the data compression ratio and hence improving energy efficiency in WSNs.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
