Abstract
We need to reduce energy and increase safety, while at the same time protecting people's privacy. Radio frequency sensing can help, because it allows monitoring presence and estimate activity while not being accurate enough to recognize people directly and device identifiers can be anonymized. Such monitoring traditionally sets specific requirements for network and user equipment. This leads to challenges in deployment and increased e-waste when switching equipment. Our team proposes opportunistic sensing, where all transmitters enable monitoring irrespective of their wireless technology. In this project, we will investigate how to identify transmitters in the environment without prior knowledge of the wireless technology, exploiting for the first time not only specific transmitter characteristics and anomalies, but also usage patterns. While such identification can then support further presence detection and activity estimation, we will also know the extent in which current anonymization strategies are sufficient. Therefore, this project aims to contribute to economic and environmental optimization, and in societal insights. The energy our devices transmit will in the future support not only our communication, but also enable our smart environments, while taking appropriate privacy measures.
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