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Research on Three-Dimensional Localization Algorithm for WSN Based on RSSI

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Cyber Security Intelligence and Analytics (CSIA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 928))

Abstract

In recent years, with the wireless communication and electronic technology advances, making low-cost wireless sensor network WSN (Wireless Sensor Networks) technology has been greatly developed. It has a great impact on people’s production and life, and is widely used in environmental, military, health care, agriculture, family, transportation and other business areas. Among them, the location information of the sensor nodes in the network has a very important role, for example, this location information can improve the routing efficiency and network topology self-configuration to provide support. Therefore, it is very important to study the sensor node localization technology in wireless sensor networks. In this paper, based on the RSSI value ranging algorithm, based on the study of weighted centroid localization algorithm, the algorithm is improved and the positioning accuracy is improved by adjusting the correction coefficient. The experiment is simulated on MTALAB R2014b, and the Gaussian filtering process is carried out. The influence of different correction coefficients on the positioning accuracy of the algorithm is discussed. The experimental results show that the improved algorithm achieves the purpose of improving the positioning accuracy of the nodes and has certain value in the application.

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Acknowledgments

This work was financially supported by Beijing-Tianjin-Hebei Science and Technology Achievements Transformation Project (17YFCZZC00330); Science and Technology Development Project of Wuqing District of Tianjin (WQKJ201715); Science and Technology Support Project of Tianjin (17YFZCNC00250).

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Correspondence to Hua Liu .

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Shi, Y., Liu, H., Zhang, W., Wei, Y., Dong, J. (2020). Research on Three-Dimensional Localization Algorithm for WSN Based on RSSI. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_139

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