Direct Lightweight Temporal Compression for Wearable Sensor Data
Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Granell, Carlos; Talvitie, Jukka; Valkama, Mikko; Nurmi, Jari (2021)
Klus, Lucie
Klus, Roman
Lohan, Elena Simona
Granell, Carlos
Talvitie, Jukka
Valkama, Mikko
Nurmi, Jari
2021
7000404
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202102101999
https://urn.fi/URN:NBN:fi:tuni-202102101999
Kuvaus
Peer reviewed
Tiivistelmä
Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things devices are often deployed in critical infrastructure or health monitoring and require fast reaction time, reasonable accuracy, and high energy efficiency. In this work we introduce a lossy compression method for time-series data, named Direct Lightweight Temporal Compression (DLTC), enabling energy-efficient data transfer for power-restricted devices. Our method is based on the Lightweight Temporal Compression (LTC) method, targeting further reconstruction error minimization and complexity reduction. This work highlights the key advantages of the proposed method and evaluates the method's performance on several sensor-based, time-series data types. We prove that DLTC outperforms the considered benchmark methods in compression efficiency at the same reconstruction error level.
Kokoelmat
- TUNICRIS-julkaisut [16929]