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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T15:38:17Z</responseDate> <request identifier=oai:HAL:hal-00519597v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00519597v1</identifier> <datestamp>2017-12-21</datestamp> <setSpec>type:COMM</setSpec> <setSpec>subject:info</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:BNRMI</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Population Protocol Over Wireless Sensor Networks.</title> <creator>Dessart, Nathalie</creator> <creator>Fouchal, Hacène</creator> <creator>Hunel, Philippe</creator> <creator>Vidot, Nicolas</creator> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <description>International audience</description> <source>a venir</source> <source>The 35th IEEE Conference on Local Computer Networks (LCN)</source> <coverage>Denver, Colorado, United States</coverage> <identifier>hal-00519597</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00519597</identifier> <source>https://hal.archives-ouvertes.fr/hal-00519597</source> <source>The 35th IEEE Conference on Local Computer Networks (LCN), Oct 2010, Denver, Colorado, United States. pp.a venir, 2010</source> <language>en</language> <subject lang=en>health care information systems</subject> <subject lang=en>Wireless sensor network</subject> <subject lang=en>vital signs</subject> <subject lang=en>body sensor network</subject> <subject lang=en>mote</subject> <subject lang=en>medical care</subject> <subject lang=en>health care information systems.</subject> <subject>IEEE</subject> <subject>[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]</subject> <type>info:eu-repo/semantics/conferenceObject</type> <type>Conference papers</type> <description lang=en>The aim of this study is to suggest an automated technique for distributed decision. It is based on protocol population deployed on Wireless Sensor Networks (WSN). This approach is able to help medical staff to detect earlier than usual some diseases on patients. It could be easily adapted for many other fields (fire monitoring, environment supervising, ...) In this context, a patient is equipped with health parameter transducers which are connected to a WSN. This WSN will perform some computations and raise an alarm when some diseases are suspected. The algorithm is distributed, i.e., the decision may be done by any mote dealing with the disease detection. The experimentations show promising results.</description> <date>2010-10-11</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>