Name
Abstract | ||
|---|---|---|
K-nearest neighbour is one of the most widely used algorithms for indoor positioning systems. However, the error for each estimated position notably varies depending on the K value used for the algorithm. Therefore, if K is a fixed value, the estimation error for the positions cannot be further reduced. In this Letter, I propose an algorithm that adapts the K value for each position by analysing the correlation between the K value and the received WiFi signal strength. The proposed algorithm provides an improvement above 30% on the positioning accuracy compared to the algorithm with fixed K value. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.icte.2018.04.004 | ICT Express |
Keywords | DocType | Volume |
KNN,Positioning,Fingerprint | Journal | 4 |
Issue | ISSN | Citations |
2 | 2405-9595 | 3 |
PageRank | References | Authors |
0.40 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jongtaek Oh | 1 | 3 | 0.73 |
| Jisu Kim | 2 | 211 | 28.11 |