Performance analysis of wireless sensor networks for nuclear medicine applications

Gomaa, R.

doi:10.1080/16878507.2020.1828021

Cited by 5 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Efficient and reliable communication systems are critical in nuclear radiation monitoring, as they allow for the timely and accurate transmission of radiation data from detection devices to monitoring centers. As you mentioned, nuclear radiation is invisible, odorless, and silent, making it impossible for humans to detect without the use of radiation detection devices [1,2]. These devices measure radiation levels in various environments, including on the surface of people, within the body, and in the surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Outage Probability and Capacity improvement of A Wireless Communication Systems

Ali,

El-Tokhy,

Kayed

2023

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

The paper focuses on improving wireless communication networks for nuclear radiation monitoring by analyzing and evaluating the performance of Multi Carrier Code Division Multiple Access (MC-CDMA) as a wireless communication system. The work aims to determine the outage probability as a quality-of-service parameter and investigate the average channel capacity under channel deterioration. They use closed form expressions to present the performances of these characteristics and study the impact of the number of branches and subcarriers on the outage probability. In addition, the authors propose a robust and reliable approach to channel under fading and study the capacity of MC-CDMA with the largest number of users. The results obtained from the study confirm that exponential channel fading achieves the lowest outage probability compared to other channel degradations. Moreover, the proposed results guarantee high average channel capacity and high throughput, which are essential for the successful deployment of MC-CDMA systems. The findings of this study provide valuable information for researchers and engineers working in the field of wireless communication systems, particularly those interested in the design and optimization of MC-CDMA systems. Overall, the paper contributes to the understanding of the performance of MC-CDMA systems under various channel conditions and provides insights into the design and optimization of such systems. The results show that the importance of utilizing robust and reliable wireless communication systems in nuclear radiation monitoring to ensure the accuracy and reliability of the data obtained.

show abstract

Section: Introductionmentioning

confidence: 99%

Outage Probability and Capacity improvement of A Wireless Communication Systems

Ali,

El-Tokhy,

Kayed

2023

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

show abstract

“…A Wireless Sensor Network (WSN) was deployed to overcome the human safety issue by installing nodes to radiation sensors that can collect and transmit radiation data to a base station wirelessly [7]. Although this technology may assist in reducing the radiation exposure of radiation personnel, the packet transmission of large throughput from the scattered coverage of sensor nodes in the nuclear environment may lead to the failure of the central node, which can paralyze the entire radiation monitoring network.…”

Section: Introductionmentioning

confidence: 99%

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Ahmad

Rahim²,

Nordin

et al. 2021

Sensors

View full text Add to dashboard Cite

As nuclear technology evolves, and continues to be used in various fields since its discovery less than a century ago, radiation safety has become a major concern to humans and the environment. Radiation monitoring plays a significant role in preventive radiological nuclear detection in nuclear facilities, hospitals, or in any activities associated with radioactive materials by acting as a tool to measure the risk of being exposed to radiation while reaping its benefit. Apart from in occupational settings, radiation monitoring is required in emergency responses to radiation incidents as well as outdoor radiation zones. Several radiation sensors have been developed, ranging from as simple as a Geiger-Muller counter to bulkier radiation systems such as the High Purity Germanium detector, with different functionality for use in different settings, but the inability to provide real-time data makes radiation monitoring activities less effective. The deployment of manned vehicles equipped with these radiation sensors reduces the scope of radiation monitoring operations significantly, but the safety of radiation monitoring operators is still compromised. Recently, the Internet of Things (IoT) technology has been introduced to the world and offered solutions to these limitations. This review elucidates a systematic understanding of the fundamental usage of the Internet of Drones for radiation monitoring purposes. The extension of essential functional blocks in IoT can be expanded across radiation monitoring industries, presenting several emerging research opportunities and challenges. This article offers a comprehensive review of the evolutionary application of IoT technology in nuclear and radiation monitoring. Finally, the security of the nuclear industry is discussed.

show abstract

“…Reports indicate that nuclear medicine has become the second-largest source of medical exposure after CT scans. In recent years, the world has been developing a study on the trend of dose due to nuclear medicine, but in China, although the frequency of nuclear medicine equipment and treatment has increased significantly in recent years, no study on the collective dose due to nuclear medicine and its trend has been seen, which is not in line with the development of a large country in terms of population and nuclear medicine, so it is necessary to develop a study on the trend of collective dose due to nuclear medicine [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Nuclear Medicine Exposure Measures Based on Intelligent Computer Processing

Wang¹,

Wang²,

Liu³

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

This paper provides an in-depth discussion and analysis of the estimation of nuclear medicine exposure measurements using computerized intelligent processing. The focus is on the study of energy extraction algorithms to obtain a high energy resolution with the lowest possible ADC sampling rate and thus reduce the amount of data. This paper focuses on the direct pulse peak extraction algorithm, polynomial curve fitting algorithm, double exponential function curve fitting algorithm, and pulse area calculation algorithm. The detector output waveforms are obtained with an oscilloscope, and the analysis module is designed in MATLAB. Based on these algorithms, the data obtained from six different lower sampling rates are analyzed and compared with the results of the high sampling rate direct pulse peak extraction algorithm and the pulse area calculation algorithm, respectively. The correctness of the compartment model was checked, and the results were found to be realistic and reliable, which can be used for the analysis of internal exposure data in radiation occupational health management, estimation of internal exposure dose for nuclear emergency groups, and estimation of accidental internal exposure dose. The results of the compartment model of the respiratory tract and the compartment model of the digestive tract can be used to calculate the distribution and retention patterns of radionuclides and their compounds in the body, which can be used to assess the damage of radionuclide internal contamination and guide the implementation of medical treatment.

show abstract

Performance analysis of wireless sensor networks for nuclear medicine applications

Cited by 5 publications

References 12 publications

Outage Probability and Capacity improvement of A Wireless Communication Systems

Outage Probability and Capacity improvement of A Wireless Communication Systems

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Estimation of Nuclear Medicine Exposure Measures Based on Intelligent Computer Processing

Contact Info

Product

Resources

About