作者
Gabriel R Caldas de Aquino, Claudio M de Farias, Luci Pirmez
发表日期
2019/4/8
图书
Proceedings of the 34th ACM/SIGAPP symposium on applied computing
页码范围
889-891
简介
Smart Sensor Networks (SSN) are the core data transmission infrastructure of the Internet of Things. However, SSN devices are resource-constrained and the environment in which the SSN is deployed impose data quality challenges. Data quality refers to the fitness of the data for the data consumer. In this case, mechanisms to assess the data quality for IoT data in network are demanded. In this work we propose Hygieia: a data quality assessment mechanism for constrained SSN devices. Hygieia is designed to impose low memory overhead, low network communication overhead and to not impose a significant delay from its data input to its data quality assessment output. We conducted real node experiments.
引用总数
20202021202220232441
学术搜索中的文章
GRC de Aquino, CM de Farias, L Pirmez - Proceedings of the 34th ACM/SIGAPP symposium on …, 2019