K-Nearest Neighbor Algorithm for Improving Accuracy in Clutter Based Location Estimation of Wireless Nodes

Provided by: University of Maine at Presque Isle
Topic: Networking
Format: PDF
In this paper, the authors focusing on the precise location estimation of mobile node by using k-Nearest Neighbor algorithm (k-NN). It is based on their previous research findings in which they divided the geographical area into thirteen clutters/terrains based on the behavior of radio waves. They calculated the point-to-point distance from the antennas to mobile node by using receive signal strength and available signal strength information. A C# prototype was developed by using WiFi (IEEE 802.11 b/g standard) to record data points in different clutters at every 2 meter distance.

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