A master thesis from Aalborg University
Indoor sensor localization using RSSI and building map
Author(s)
Term
4. term
Education
Publication year
2022
Submitted on
2022-06-02
Pages
60 pages
Abstract
In this project, the objective was to de- velop an algorithm that could deter- mine sensor locations in an indoor en- vironment based on Transmit Power (TxP), Received Signal Strength Indi- cator (RSSI) and the building map. Ini- tially, the problem is analysed and cur- rent methods within localization deter- mination are examined. This analysis lead to the choice to use RSSI to deter- mine distance with a path-loss model, and an explanation of how the build- ing map is used to improve the model. Based on this, an algorithm was de- signed to estimate distance, location and room in the building. To assess the algorithms performance, a simula- tion tool was developed, and the pro- posed algorithm was compared with other localization methods. It was con- cluded that the proposed algorithm "Multilateration with filtration" had in- creased the performance compared to other methods, however, further im- provements can be done.
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