Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications
In wireless sensor networks (WSNs), effective localization is crucial for applications like target tracking, environmental monitoring, and asset management. Accurately predicting the average localization error (ALE) is essential for improving sensor performance and reliability. This study proposes u...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Bilijipub publisher
2024-09-01
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| Series: | Journal of Artificial Intelligence and System Modelling |
| Subjects: | |
| Online Access: | https://jaism.bilijipub.com/article_206720_29909c8491193a7833b2a1a1362e37e8.pdf |
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