Correia, SérgioPerez, RafaelMatos-Carvalho, JoaoLEITHARDT, VALDERI2023-02-012023-02-012022-03-30http://hdl.handle.net/10400.26/43561Embedded 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 µJSON. 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.engData Transmission,Embedded Computing,Global Navigation Satellite System,Internet of Things,Lossless Compressionconference object2022-05-11cv-prod-299801910.1109/ciot53061.2022.9766635