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The k-nearest neighbor (KNN) based indoor localization methods are practical to the wireless sensor network constructed by internet of things. The weighted KNN (WKNN) method is designed as the enhanced KNN but actually does not outperform KNN. Inspired by the technique of differential coordinates from satellite-based localization, in this paper we propose the differential coordinate based WKNN (DC-WKNN)...
In recent years, Wi-Fi based indoor localization using received signal strength (RSS) gets considerable attention. However, RSS based Wi-Fi localization at 2.4GHz is highly susceptible and unstable. We proposed dynamic machine learning approach (DMLA) at 5GHz to effectively localize Wi-Fi users by means of feed-forward neural network algorithm. The simulation result shows that 90% of tested result...
Improve of the overall network efficiency between source and destination relay selection and interference free communication is important criteria in WSN. In this paper we are proposing SON based algorithm capable of simultaneous Scheduling and Routing in WSN. The proposes scheme contains the three stages, in first stage the sensor nodes are classified into different clusters and each nodes having...
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