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- W2780456886 abstract "Movement detection in Internet of Things (IoTs) has been widely used in many fields, such as valuables monitoring, safety protection and empty-nesters care. Monitoring by videos, GPS and ultrasonic is the most common method to address the movement detection in IoTs. However, these efforts are circumscribed because they need the support of the special equipment, such as cameras, infrared equipment and ultrasonic facilities. It is significant to detect the movement in IoTs systems without additional equipment and ensure its high detection precision. Therefore, in this paper we derive an innovative method called Horizontal Slicing Clustering (HSC) to detect the movement in the IoTs. Received Signal Strength Indicator (RSSI) data are the network parameters which are utilized in this method. The simulation results show their effectiveness in movement detection." @default.
- W2780456886 created "2018-01-05" @default.
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- W2780456886 date "2017-12-22" @default.
- W2780456886 modified "2023-10-06" @default.
- W2780456886 title "Horizontal Slicing Clustering Based Movement Detection Method for IoTs" @default.
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- W2780456886 doi "https://doi.org/10.1007/978-3-319-72998-5_29" @default.
- W2780456886 hasPublicationYear "2017" @default.
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