untitled
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<identifier>oai:HAL:hal-00786165v1</identifier>
<datestamp>2017-12-21</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Wireless sensor network for habitat monitoring: A counting heuristic</title>
<creator>Stattner, Erick</creator>
<creator>Vidot, Nicolas</creator>
<creator>Hunel, Philippe</creator>
<creator>Collard, Martine</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>Local Computer Networks (LCN)</source>
<source>IEEE 37th Conference on Local Computer Networks (LCN), 2012</source>
<source>Local Computer Networks (LCN)</source>
<coverage>Clearwater, United States</coverage>
<contributor>IEEE</contributor>
<identifier>hal-00786165</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00786165</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00786165</source>
<source>IEEE. Local Computer Networks (LCN), 2012, Clearwater, United States. pp.753 - 760, 2012, 〈10.1109/LCNW.2012.6424060〉</source>
<identifier>DOI : 10.1109/LCNW.2012.6424060</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/LCNW.2012.6424060</relation>
<language>en</language>
<subject>[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation</subject>
<subject>[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>More and more animal species are endangered. In order to study and protect them, several measures have been taken, which now seem to show their limit. This work focuses on the counting process, a key issue for any project that aims to protect animals. Indeed, this paper proposes an algorithm for automatic counting of singing birds in their habitat by using wireless sensors fitted with microphone. Sensors are used to record audio samples of bird songs. These samples are used to extract some kinds of song fingerprint that are thereafter used to recognize the bird species, through a classification process. Afterwards, by analyzing data which have been collected by a central base, the network structure derived from detection fields of sensors, allows our algorithm to propose an estimate of singing birds in the habitat. This paper details the counting algorithm which uses graph theory and audio inputs comparison. Finally, we demonstrate our scheme efficiency through experimentations.</description>
<date>2012</date>
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