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Correia, S., Perez, R., Matos-Carvalho, J. & Leithardt, V. (2022). µJSON, a lightweight compression scheme for embedded GNSS data transmission on IoT nodes. In 5th Conference on Cloud and Internet of Things, CIoT 2022. (pp. 232-238). Marrakech, Morocco: IEEE.
C. S. D. et al., "µJSON, a lightweight compression scheme for embedded GNSS data transmission on IoT nodes", in 5th Conf. on Cloud and Internet of Things, CIoT 2022, Marrakech, Morocco, IEEE, 2022, pp. 232-238
@inproceedings{d.2022_1764931721426,
author = "Correia, S. and Perez, R. and Matos-Carvalho, J. and Leithardt, V.",
title = "µJSON, a lightweight compression scheme for embedded GNSS data transmission on IoT nodes",
booktitle = "5th Conference on Cloud and Internet of Things, CIoT 2022",
year = "2022",
editor = "",
volume = "",
number = "",
series = "",
doi = "10.1109/ciot53061.2022.9766635",
pages = "232-238",
publisher = "IEEE",
address = "Marrakech, Morocco",
organization = ""
}
TY - CPAPER TI - µJSON, a lightweight compression scheme for embedded GNSS data transmission on IoT nodes T2 - 5th Conference on Cloud and Internet of Things, CIoT 2022 AU - Correia, S. AU - Perez, R. AU - Matos-Carvalho, J. AU - Leithardt, V. PY - 2022 SP - 232-238 DO - 10.1109/ciot53061.2022.9766635 CY - Marrakech, Morocco AB - Embedded computing is a sector in strong growth, driven by the increasing offer in the internet of things. Since position information is typically one of the intrinsic features of a sensory platform, the present work considers and analyzes the embedded lossless compression of localization data. A structural data scheme is proposed based on the number of occurrences of the independent coordinate components, named as ?JSON. It is shown that, when considering a low-level language implementation on an embedded processor acquiring GNSS data, the proposed schema implies lower compression rates than its counterparts. An embedded test-bench platform is assembled, and several real case scenarios are considered for effectiveness and validation purposes. ER -
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