Publications by authors named "Neil Bergmann"
Channel state information (CSI) collected during WiFi packet transmissions can be used for localization of commodity WiFi devices in indoor environments with multipath propagation. To this end, the angle of arrival (AoA) and time of flight (ToF) for all dominant multipath components need to be estimated. A two-dimensional (2D) version of the multiple signal classification (MUSIC) algorithm has been shown to solve this problem using 2D grid search, which is computationally expensive and is therefore not suited for real-time localisation.
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- Wireless sensor networks are crucial for monitoring environmental conditions, with the number of nodes needing adjustment based on resolution requirements.
- The main challenge lies in optimally selecting the number, locations, and sampling rates for these sensors, as current solutions often rely on theoretical or simulation methods, which may not be specific to real-world deployments.
- This study introduces a data-driven method using time series analysis from an actual mine rehabilitation project, revealing that only 25% of the original sensors can achieve accurate data collection with minimal error, thereby reducing costs while maintaining data quality.
Wireless sensor networks have gained significant traction in environmental signal monitoring and analysis. The cost or lifetime of the system typically depends on the frequency at which environmental phenomena are monitored. If sampling rates are reduced, energy is saved.
View Article and Find Full Text PDFThere is an increasing need for environmental measurement systems to further science and thereby lead to improved policies for sustainable management. Marine environments are particularly hostile and extremely difficult for deploying sensitive measurement systems. As a consequence the need for data is greatest in marine environments, particularly in the developing economies/regions.
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