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<datestamp>2017-12-21</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>On using a distributed approach for help in medical diagnosis with 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>11th International Conference on Innovative Internet Community Systems</source>
<identifier>hal-00602207</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00602207</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00602207</source>
<source>11th International Conference on Innovative Internet Community Systems, 2011, P-186</source>
<language>en</language>
<subject>[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>In this paper, we focus on providing new tools to help doctors in their diagnosis. We study the feasibility of using a distributed approach over Wireless Sensor Networks (WSN). We define a Wireless Body Area Network (WBAN) as a set of wireless sensors which equipped a patient. Each sensor senses a health parameter, for example, temperature or heart pulse. Our aim is to understand how a distributed approach can be a fair alternative to the common centralized paradigm. We study a distributed approach based on the token paradigm. Then, we compare this approach to the centralized one, throw simulations and experimentations over real sensors.</description>
<date>2011</date>
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