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Comparison of Image Compression Methods for Image Transmission Over Wireless Sensor Network

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Unlike conventional networks, in Wireless Sensor Network the nodes have constrained energy, memory and processing capabilities. These nodes deployed in a constrained environment monitor any changes in surrounding environment and transfer the changes to the cluster heads. Each node has its own memory, battery, and transceivers. Efficient utilization of these resources can result in the enhancement of network lifetime. In order to securely transfer the data in the form of images, an efficient and cost effective image compression algorithm is required. Hence, in this paper, a detailed review of image compression algorithms has been carried out. The selected algorithms are compared in terms of various performance metrics such as compression ratio, compression time, speed, type of data, etc. The results showed that algorithm proposed by Borici and Arber is the best in case of compression ratio, as it provides better compression ratio in comparison to other algorithms.
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Keywords: CR; Image Compression; MSE; PSNR

Document Type: Research Article

Affiliations: M.M. Institute of Computer Technology & Business Management, Maharishi Markandeshwar (Deemed to be University), Mullana (Ambala) 133203, India

Publication date: September 1, 2019

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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