Data Compression mechanisms in an intelligent E-Health gateway for medical monitoring applications

In this article, we present data Compression mechanisms in an intelligent E-Health gateway for medical monitoring applications, to improve the collection and processing of data in the context of medical surveillance. These mechanisms, will not only optimize the data storage space required by the gateway, but also to accelerate the processing of the data flow for the fast and lossless transfer of data on the WSN (Wireless Sensor Network) and WLAN (Wireless Local Area Network) networks. In addition, all of the modern data compression mechanisms presented in this article are the following: Forecast compression, Sampling compression, Scheduling compression, distributed compression. We apply some formats of lossless data compression algorithms to these mechanisms (LZ4, LZO and Bzip2), to establish a comparative study between mechanisms using metric parameters. The implementation of these mechanisms in the smart gateway highlights an advanced Internet of Things data processing system for health and medical surveillance, based on a comprehensive and efficient study of advanced data compression techniques.