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dc.date.accessioned 2012-11-13T14:35:31Z
dc.date.available 2012-11-13T14:35:31Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24086
dc.description.abstract Because of the remote nature and the size of sensor nodes, they rely on limited battery energy that cannot be replenished in many applications. Thus, low power consumption technology is a major issue in wireless sensor networks in order to prolong system lifetime. In this paper, we propose to maximize energy efficiency in wireless sensor networks using optimal packet length in terms of power management and channel coding. The use of power management cannot improve energy efficiency, but it saves a lot of energy because the transceiver is turned o while it is not used. Also, we evaluate optimal packet length without power management in such that the energy efficiency can be maximized. Finally, we show that the BCH code for channel coding can improve energy efficiency signi cantly compared to the convolutional code. en
dc.language en es
dc.subject Wireless communication es
dc.subject Sensors es
dc.title Energy efficient maximization for wireless sensor networks en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34634-1 es
sedici.creator.person Joe, Inwhee es
sedici.description.note 8th IFIP/IEEE International conference on Mobile and Wireless Communication es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)