Authors:
Pedro Brandão
and
Jean Bacon
Affiliation:
University of Cambridge, United Kingdom
Keyword(s):
Body Sensors, Networks, System Architecture, Models.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Cloud Computing
;
Devices
;
Distributed and Mobile Software Systems
;
e-Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Physiological Computing Systems
;
Platforms and Applications
;
Semantic Interoperability
;
Software Engineering
;
Wearable Sensors and Systems
Abstract:
In the sensor network area, BSNs encompass a particular set of restrictions and conditions that separate them from normal WSNs. More so than WSNs, BSNs would profit from different types of sensing information and the sensor network itself provides more opportunities for different applications to use the same resources. However, the heterogeneity of sensor HWdevices and the myriad of different applications that try to use them are an obstacle to its development. A problem is the need to address specific characteristics of the HW without
abstractions that 1) provide the freedom to access the needed information while 2) complying to a set of requirements and 3) optimizing resource usage according to a set of metrics. We propose a middleware approach for abstracting lower level details from applications. We enrich the approach by building models in the middle layer fed with data from the sensor network and query-able from the application layer. Furthermore: a) applications should be abl
e to set requirements to be met in providing the information, b) several applications should be able to share the same resources, c) the resources should be optimized so as to meet the requirements and prolong the lifetime of the BSN.
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