Study on Location of Wireless Sensor Network Node in Forest Environment

Li, Hao; Lin, Zhuying

doi:10.1016/j.procs.2017.03.150

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…Accurately, quickly, and effectively monitoring and detecting abnormal events in forest environments has become a major concern for society. However, the complexity, variability, and danger of the forest environment make it difficult for traditional technologies such as geographic information systems (GIS), remote sensing (RS), and global positioning systems (GPS) to accurately locate and monitor changes in the forest environment 3 .…”

Section: Introductionmentioning

confidence: 99%

Research on WSN reliable ranging and positioning algorithm for forest environment

Wu,

Yu,

et al. 2024

Sci Rep

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Wireless sensor network (WSN) location is a significant research area. In complex environments like forests, inaccurate signal intensity ranging is a major challenge. To address this issue, this paper presents a reliable WSN distance measurement-positioning algorithm for forest environments. The algorithm divides the positioning area into several sub-regions based on the discrete coefficient of the collected signal strength. Then, using the fitting method based on the signal intensity value of each sub-region, the algorithm derives the reference points of the logarithmic distance path loss model and path loss index. Finally, the algorithm locates target nodes using anchor nodes in different regions. Additionally, to enhance the positioning accuracy, weight values are assigned to the positioning result based on the discrete coefficient of the signal intensity in each sub-region. Experimental results demonstrate that the proposed WSN algorithm has high precision in forest environments.

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Section: Introductionmentioning

confidence: 99%