Optimizing Placement and Number of RF Beacons to Achieve Better Indoor Localization
- Publication Type:
- Conference Proceeding
- Proceedings - IEEE International Conference on Robotics and Automation, 2018, pp. 2304 - 2311
- Issue Date:
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© 2018 IEEE. In this paper, we propose a novel solution to optimize the deployment of Radio Frequency (RF) beacons for the purpose of indoor localization. We propose a system that optimizes both the number of beacons and their placement in a given environment. We propose a novel cost-function, called CovBsm, that allows to simultaneously optimize the 3-coverage while maximizing the beacon spreading. Using this cost function, we propose a framework that maximize both the number of beacons and their placement in a given environment. The proposed solution accounts for the indoor infrastructure and its influence on the RF signal propagation by embedding a realistic simulator into the optimization process.
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