Energy Efficient NK-RLE Data Compression Scheme
Narinder Singh1, Harmaninderjit Singh2
1Narinder Singh, Research Scholar Department of Computer Science, Desh Bhagat University, Mandi Gobindgarh (Punjab), India.
2Harminderjit Singh, Assistant professor in Computer Science, Desh Bhagat University, Mandi Gobindgarh(Punjab), India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 4014-4021 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9296088619/2020©BEIESP | DOI: 10.35940/ijeat.F9296.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Data compression, RLE, C-RLE, K-RLE, Energy Efficiency.