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Authors
Advisor(s)
Abstract(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.
Description
Keywords
Data Transmission, Embedded Computing, Global Navigation Satellite System, Internet of Things, Lossless Compression
Citation
Publisher
IEEE