Indoor sensor localization using RSSI and building map
Authors
Jensen, Marcus Bisgaard ; Jensen, Frederik Huse
Term
4. term
Education
Publication year
2022
Submitted on
2022-06-02
Pages
60
Abstract
In this project, the objective was to develop an algorithm that could determine sensor locations in an indoor environment based on Transmit Power (TxP), Received Signal Strength Indicator (RSSI) and the building map. Initially, the problem is analysed and current methods within localization determination are examined. This analysis lead to the choice to use RSSI to determine distance with a path-loss model, and an explanation of how the building map is used to improve the model. Based on this, an algorithm was designed to estimate distance, location and room in the building. To assess the algorithms performance, a simulation tool was developed, and the proposed algorithm was compared with other localization methods. It was concluded that the proposed algorithm "Multilateration with filtration" had increased the performance compared to other methods, however, further improvements can be done.
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