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The document presents a novel method for improving localization accuracy in wireless sensor networks (WSN) for precision agriculture, called Partial Derivative Laurent Approximation and Stochastic Feedforward Hyperbolic (PDLA-SFH). This method involves three steps: topology construction using Game Theory, hop size distance validation, and position estimation, demonstrating superior performance compared to existing methods. Simulation results indicate that the proposed approach achieves better accuracy, time

Author

V Sathya

Language

EN