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Research on WSN reliable ranging and positioning algorithm for forest environment
Peng Wu1, Le Yu1, Xiaomei Yi2
1College of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou, 311300, People's Republic of China.
Scientific Reports
|March 5, 2024
Summary
This study introduces a precise wireless sensor network (WSN) positioning algorithm for forests. It improves accuracy in challenging environments by dividing areas and using signal strength for reliable WSN location.
Area of Science:
- Wireless Sensor Networks (WSN)
- Localization Algorithms
- Environmental Sensing
Background:
- Accurate WSN localization is crucial but challenging in complex environments like forests.
- Signal intensity ranging inaccuracies hinder precise positioning in natural settings.
Purpose of the Study:
- To develop a reliable WSN distance measurement and positioning algorithm specifically for forest environments.
- To overcome the limitations of signal intensity ranging in complex terrains.
Main Methods:
- The algorithm segments the positioning area into sub-regions based on signal strength's discrete coefficient.
- It employs a fitting method to derive logarithmic distance path loss model parameters and path loss index.
- Target nodes are located using anchor nodes, with positioning results weighted by signal intensity's discrete coefficient for enhanced accuracy.
Main Results:
- The proposed algorithm demonstrates high precision in WSN positioning within forest environments.
- Weighting based on signal intensity's discrete coefficient significantly enhances localization accuracy.
Conclusions:
- The developed algorithm offers a robust solution for WSN localization in challenging forest environments.
- This approach effectively addresses signal intensity variations for improved positioning accuracy.
Keywords:
Fitting methodHigh precisionRanging positioningRegional divisionWireless sensor network (WSN)More Related Videos
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