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The paper discusses a method for tracking mobile users in indoor wireless networks using a grey prediction algorithm based on Received Signal Strength Indicator (RSSI). It highlights the effectiveness of integrating grey prediction with various location algorithms, achieving a mean distance error of 1.3m for mobile user localization. The study emphasizes the importance of accurate localization in wireless sensor networks and presents experimental results demonstrating the algorithm

Author

manjugowda5589

Language

EN