Integrating a Secure and Low-Cost WSN Layer with Medical Cloud Computing for Medical Image Transmission

Throughout a Wireless Sensor Network (WSN), information collected from the environment is continuously transmitted from one node to the next, and then the main collector or server receives and processes it. With the growth of a network, data transfers within the network also grow dramatically. Medical images increase traffic on a network if they are transmitted. An interlayer transmission protocol (WSN) was developed for this study. Pixels are used to create the medical image using the protocol. A gray-level medical image with 512x512 pixels provided by Brain was used to conduct the study. Medical image size is reduced from 256 KB to 192 KB, providing a 25% advantage. A study found SSIM of 51, 1365 and PSNR of 0,9976 for the structural similarity ratio (SSIM). The Advanced Encryption Standard (AES) encryption algorithm safeguards data during the transfer. By creating such a layer, transmissions became safer. In the WSNs, 12.5% and 25% of the data transfer has been reduced based on the information obtained from the study without changing the medical image.

Authors

Publication Details

Journal
Fusion Practice and Applications
Published
2024-12-30
DOI
https://doi.org/10.54216/fpa.180103
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating a Secure and Low-Cost WSN Layer with Medical Cloud Computing for Medical Image Transmission

Fitih M. Mohammed, Azmi Shawkat Abdulbaqi, Azmi Azmi, Saif Al-din M. Najim
Fusion Practice and Applications
Wireless Body Area Networks
article

Integrating a Secure and Low-Cost WSN Layer with Medical Cloud Computing for Medical Image Transmission

Fitih M. Mohammed, Azmi Shawkat Abdulbaqi, Azmi Azmi, Saif Al-din M. Najim
article en

Abstract

Throughout a Wireless Sensor Network (WSN), information collected from the environment is continuously transmitted from one node to the next, and then the main collector or server receives and processes it. With the growth of a network, data transfers within the network also grow dramatically. Medical images increase traffic on a network if they are transmitted. An interlayer transmission protocol (WSN) was developed for this study. Pixels are used to create the medical image using the protocol. A gray-level medical image with 512x512 pixels provided by Brain was used to conduct the study. Medical image size is reduced from 256 KB to 192 KB, providing a 25% advantage. A study found SSIM of 51, 1365 and PSNR of 0,9976 for the structural similarity ratio (SSIM). The Advanced Encryption Standard (AES) encryption algorithm safeguards data during the transfer. By creating such a layer, transmissions became safer. In the WSNs, 12.5% and 25% of the data transfer has been reduced based on the information obtained from the study without changing the medical image.

Fusion Practice and ApplicationsVol. 18(1)
Openalex Percentile: Top 77%
Wireless Body Area Networks
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