dc.contributor.author |
Preve, N |
en |
dc.date.accessioned |
2014-03-01T01:36:59Z |
|
dc.date.available |
2014-03-01T01:36:59Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
0957-4174 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/21424 |
|
dc.subject |
Data management system |
en |
dc.subject |
E-Health |
en |
dc.subject |
Grid computing |
en |
dc.subject |
Grid storage |
en |
dc.subject |
Health Care |
en |
dc.subject |
HealthGrid |
en |
dc.subject |
Sensor grid |
en |
dc.subject |
Wireless sensor network |
en |
dc.subject.classification |
Computer Science, Artificial Intelligence |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.classification |
Operations Research & Management Science |
en |
dc.subject.other |
Data management system |
en |
dc.subject.other |
Ehealth |
en |
dc.subject.other |
Grid Storage |
en |
dc.subject.other |
HealthGrid |
en |
dc.subject.other |
Sensor grid |
en |
dc.subject.other |
Wireless sensor |
en |
dc.subject.other |
Biosensors |
en |
dc.subject.other |
Health |
en |
dc.subject.other |
Health care |
en |
dc.subject.other |
Information management |
en |
dc.subject.other |
Medical applications |
en |
dc.subject.other |
Network architecture |
en |
dc.subject.other |
Network management |
en |
dc.subject.other |
Sensor networks |
en |
dc.subject.other |
Sensor nodes |
en |
dc.subject.other |
Telecommunication equipment |
en |
dc.subject.other |
Wireless sensor networks |
en |
dc.subject.other |
Grid computing |
en |
dc.title |
SEGEDMA: Sensor grid enhancement data management system for health care computing |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.eswa.2010.08.025 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.eswa.2010.08.025 |
en |
heal.language |
English |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
Wireless sensor network (WSN) can be deployed to monitor the health of patients suffering from critical diseases. Also a wireless network consisting of biomedical sensors can be implanted into the patient's body and can monitor the patients' conditions. These sensor devices apart from having an enormous capability of collecting data from their physical surroundings are also resource constraint in nature with a limited processing and communication ability and hence we have to integrate the Grid technology to do the processing and storage of the data collected by the sensor nodes. In this paper, we proposed the sensor grid enhancement data management system, called SEGEDMA ensuring the integration of different network technologies and the continuous data access to system users. The main contribution of this work is to achieve the interoperability of both technologies through a novel network architecture and according to the results SEGEDMA can be applied successfully. (C) 2010 Elsevier Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Expert Systems with Applications |
en |
dc.identifier.doi |
10.1016/j.eswa.2010.08.025 |
en |
dc.identifier.isi |
ISI:000284863200118 |
en |
dc.identifier.volume |
38 |
en |
dc.identifier.issue |
3 |
en |
dc.identifier.spage |
2371 |
en |
dc.identifier.epage |
2380 |
en |