Precision Agriculture Revolution: PALS Algorithm Unveiled
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 5
Abstract
This study presents an algorithm for mobile node localization in wireless sensor networks, leveraging the Extended Kalman Filter (EKF). The algorithm demonstrates robustness in handling non-linear dynamics and adaptability to varying environmental conditions. While initial conditions and Gaussian noise assumptions pose challenges, ongoing efforts aim to address these limitations. Future directions involve the refinement of sensor models, exploration of multi-sensor fusion, integration of machine learning techniques, and rigorous real-world testing. The algorithm's potential for three-dimensional localization and energy-efficient strategies positions it as a promising solution for dynamic scenarios. This research contributes to the advancement of mobile node localization methodologies, providing insights into its strengths, limitations, and avenues for future improvement.
Authors and Affiliations
Siti Nur
Keywords
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- EP ID EP749863
- DOI 10.55524/ijircst.2024.12.5.1
- Views 57
- Downloads 0
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