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Orientador(es)
Resumo(s)
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 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.
Descrição
Palavras-chave
Data Transmission, Embedded Computing, Global Navigation Satellite System, Internet of Things, Lossless Compression
Contexto Educativo
Citação
Editora
IEEE
