Radiation Signals Transmission over Wireless Multimedia Sensor Networks | ||
| Arab Journal of Nuclear Sciences and Applications | ||
| Volume 58, Issue 1, January 2025, Pages 29-42 PDF (1.29 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ajnsa.2024.330420.1859 | ||
| Authors | ||
| Sabry SA Mahmoud* 1; Hany Kasban2; Mohsen El-Bendary3 | ||
| 13 Ahmed El-Zomor St., El Zohoor, Nasr City, Cairo, | ||
| 2Engineering Department Head, NRC, Atomic Energy Authority, P. No. 13759, Inshas, Egypt | ||
| 3Department of Electronics Technology, Faculty of Technology and Education, Helwan University, Egypt | ||
| Abstract | ||
| Radiation signals from radioisotopes can be utilized to identify information within industrial systems. The radiation exposure is the main challenge of employing these methods. The goal of this work is to reduce radiation exposure by introducing an effective method for transmitting these radiation signals over mobile wireless communications channels. The proposed techniques leverage randomizing data tools and error control mechanisms to improve the transmitted signals performance and quality, even in the presence of noise. The work employs various metrics, such as Bit Error Rate (BER), Number of Lost Packets percentage (NLP), and Throughput (T), to evaluate the error performance of the proposed techniques. Additionally, the quality of the received radiation signals is assessed using the Correlation coefficient (Cr) and Mean Square Error (MSE). Reed Solomon codes are utilized to encode the transmitted packets. The effectiveness of the proposed radiation signal transmission scenarios is investigated through computer simulations, considering mobile terminal different velocities. The experimental results demonstrate the superior performance of the presented transmission scenarios for radiation signals. | ||
| Keywords | ||
| Radiation signals signal transmission; Reed Solomon Codes; Data randomizing; Error performance metrics; and Radiation signals quality metrics | ||
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