Lossless Compression Scheme for Efficient GNSS Data Transmission on IoT Devices

Rafael Perez; Correia, S. D.; LEITHARDT, VALDERI; D. Correia, S.

http://hdl.handle.net/10400.26/39308

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Abstract(s)

Wireless data transmission is one of the most energy-consuming tasks performed on embedded devices, being a crucial feature of battery-powered Internet of Things (IoT) applications. The present work proposes a new methodology to reduce the energy footprint of GNSS-based sensors by decreasing the amount of transmitted data applying a lossless compression strategy. Online trajectory data is structured through a preprocessing stage without information loss and posteriorly compressed through standard lossless algorithms. Simulations are performed considering different trajectory shapes, comparing the proposed schema with traditional compression methods without the proposed pre-processing stage. The results show that the proposed scheme can reach lower compression rates, reducing embedded IoT devices’ energy footprint.