Title:	ADVANCED DATA PROCESSING METHODS IN AN INTELLIGENT HEALTH GATEWAY
Author(s):	Mezui Eya'a Guy Lysmos and Mostafa Hanoune
ISBN:	978-989-8704-42-9
Editors:	Yingcai Xiao, Ajith Abraham, Guo Chao Peng and Jörg Roth
Year:	2022
Edition:	Single
Keywords:	Internet of Things, Healthcare, Data Processing, Data Compression, Smart Gateway, Lossless Algorithms
Type:	Full Paper
First Page:	143
Last Page:	150
Language:	English
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Paper Abstract:	In this article, we introduce advanced data processing methods in an intelligent gateway. These methods are techniques for optimizing, in a first stage, the storage space of the data of the system coming from the sensors in real time and, in a second stage, the bandwidth of the network for the transfer of the data from the local to the cloud or the remote server. Among these methods, we have first, centralized data processing that uses cyclical supervision at each detected data stream. This supervision is carried out thanks to a controller agent, which filters and segments the data according to their nature, their size and their sensitivity over regular time intervals. Second, random data processing, which consists of randomly processing the data sent by the sensors when the behavior of the compression node is stable. Third, dynamic targeted data processing that allows you to dynamically choose which node to query. During this approach, we used global variables to determine the limits of the volumes of data stored during a given period, to control the stopping and the resuming of data transfer. Finally, a comparative study of these methods has been highlighted to highlight the performance and efficiency of each.
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