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Optimized deployment method and performance evaluation of gas sensor network based on field experiment

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Abstract

In order to prevent gas leakage, gas sensors are routinely deployed in chemical industrial parks to monitor it. However, because of the effects of weather conditions, such as wind speed and direction, these gas sensors may not be able to accurately monitor the concentration of the gas leak. Toxic and harmful gases not only do harm to the surrounding environment, but also to the health of nearby residents. In order to effectively monitor the occurrence of gas leakage, in this paper, a plan of setting up wireless sensor network on site is designed, which is based on the meteorological and gas characteristics. What’s more, the plan includes the rectangle plan, the fan plan and the annular plan. Also, it stipulates the optimization standard of sensor node position and deployment scheme and field experiments were carried out in the chemical industrial park, whereby the monitoring values of gas concentration in different schemes were obtained. According to the standards, the optimal deployment scheme and the optimal location of sensor nodes in different schemes are also procured. The results show that the method is feasible and effective. It can optimize the deployment position of different elevation under certain wind speed and wind direction as well as optimize different solutions.

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Acknowledgements

The authors acknowledge the support provided by the National Natural Science Foundation of China (JZ2019GJQN0385, 61701154) and the Fundamental Research Funds for the Central Universities of China (JZ2018HGTA0219, JZ2018HGBZ0178, JZ2019HGBZ0149, JZ2018HGBZ0177).

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The original idea was proposed by YJ. The further data sample and analysis were realized by QZ, SX, MQ, ZJ, JL, WY and LJ. YJ and MQ wrote the manuscript.

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Correspondence to Ye Jiang.

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Jiang, Y., Zhou, Q., Xiao, S. et al. Optimized deployment method and performance evaluation of gas sensor network based on field experiment. J Ambient Intell Human Comput 12, 729–744 (2021). https://doi.org/10.1007/s12652-020-02055-2

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  • DOI: https://doi.org/10.1007/s12652-020-02055-2

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