Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/16468
Title: Adaptive and context-aware detection and classification of potential QoS degradation events in biomedical wireless sensor networks
Author: Abreu, Carlos
Miranda, Francisco
Mendes, Paulo M.
Keywords: Quality of service
Adaptive
Context-aware
Biomedical wireless sensor networks
Issue Date: 2016
Publisher: AIP Publishing
Abstract: The use of wireless sensor networks in healthcare has the potential to enhance the services provided to citizens. In particular they play an important role in the development of state-of-the-art patient monitoring applications. Nevertheless due to the critical nature of the data conveyed by such patient monitoring applications they have to fulfil high standards of quality of service in order to obtain the confidence of all players in the healthcare industry. In such context vis-à-vis the quality of service being provided by the wireless sensor network this work presents an adaptive and context-aware method to detect and classify performance degradation events. The proposed method has the ability to catch the most significant and damaging variations on the metrics being used to quantify the quality of service provided by the network without overreacting to small and innocuous variations on the metric’s value.
Peer review: yes
URI: http://hdl.handle.net/10773/16468
DOI: 10.1063/1.4952157
ISSN: 0094-243X
Appears in Collections:CIDMA - Artigos
SCG - Artigos

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