Research on terminal node localization in wireless sensor networks for precision agriculture

Liying Zhang; Lina Zhao; Huixiu Li

doi:10.1117/12.2673388

3 April 2023 Research on terminal node localization in wireless sensor networks for precision agriculture

Liying Zhang, Lina Zhao, Huixiu Li

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125992H (2023) https://doi.org/10.1117/12.2673388
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

This paper proposes an improved wireless sensor network node location algorithm to locate terminal nodes of ZigBee wireless network in soybean farmland. The Gaussian data screening model was used to modify the measured distance of the received signal intensity, and the strategy of introducing variogram was adopted on the basis of standard particle swarm optimization. The advantage of each variogram was applied to the population in the process of algorithm search, so that the particles could jump out of the local optimal, ensure the global search traversal ability, and obtain the precise location of sensor nodes. The comparison between the standard particle swarm positioning algorithm without correction distance and the improved positioning algorithm in this paper shows that the improved positioning method has higher accuracy.

Citation Download Citation

Liying Zhang, Lina Zhao, and Huixiu Li "Research on terminal node localization in wireless sensor networks for precision agriculture", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125992H (3 April 2023); https://doi.org/10.1117/12.2673388

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