Enhancing indoor positioning accuracy with WLAN and WSN: a QPSO hybrid algorithm with Surface tessellation
In large indoor environments, accurate positioning and tracking of people and autonomous equipment have become essential requirements. The application of increasingly automated moving transportation units in large indoor spaces demands a precise knowledge of their positions, for both efficiency and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114670/1/114670.pdf http://psasir.upm.edu.my/id/eprint/114670/ https://www.mdpi.com/1999-4893/17/8/326 |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |