Application Analysis of Wireless Sensor Networks in Nuclear Power Plant

Deng, Zhi-Guang; Wu, Qian; Lv, Xin; Zhu, Biwei; Xu, Sijie; Wang, Xuemei

doi:10.1007/978-981-15-1876-8_15

Cited by 8 publications

(1 citation statement)

References 11 publications

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“…At present, there are many mature applications in transportation, petrochemical, electric power, water treatment, and other industries, but it is still blank in the field of nuclear power plants. Some particularities of naval nuclear power plants pose challenges to the application of wireless sensor networks, such as the attenuation of wireless signals caused by complex cabin structure [1], the real-time network under high-density sensor arrangement, the electromagnetic compatibility under complex electromagnetic environment, and the safety and reliability of wireless transmission networks [2], but the research in this area is basically blank. e wireless channel is transmission media for mobile communication, and all information is transmitted in this channel.…”

Section: Introductionmentioning

confidence: 99%

Research on Channel Modeling and Communication Coverage of Wireless Sensor Networks in Barrier Area of Nuclear Power Plants

Deng

et al. 2022

Science and Technology of Nuclear Installations

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In view of the multimetal barrier environment of nuclear power plant, by considering the factors such as transmission power, transmission position, and multipath interference, based on the simulation of metal pipes and equipment, this paper carries out the barrier area channel modeling in logarithmic fading mode and makes quantitative analysis on the channel transmission, path loss, channel power characteristics, and so on under the metal barrier environment. Based on the channel modeling, this paper optimizes the coverage of the network in the obstacle area by using the improved teaching and learning group intelligent algorithm. The simulation results show that the improved teaching and learning algorithm can optimize the network coverage of the obstacle area well, and under the four obstacle modules, 14 nodes can cover the whole area by more than 99%. This provides a solution to the problem of network coverage in the practical application of wireless sensor networks.

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Section: Introductionmentioning

confidence: 99%