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Memorias de investigación
Ponencias en congresos:
Developing Cognitive Strategies for Reducing Energy Consumption in Wireless Sensor Networks
Año:2012
Áreas de investigación
  • Telecomunicación inalámbrica
Datos
Descripción
Due to Information and Communication Technologies, wireless data traffic is growing with a rate higher than 25% annually. Wireless Sensor Networks (WSNs) represent nowadays one of the most rapidly expanding sectors in wireless networks. In this context, applying reducing power consumption in WSN scenarios is a great challenge to face in order to make this kind of networks sustainable. In this paper, we present some work in progress ideas about different opportunities in power consumption reduction for WSN taking advantage of the opportunities presented by applying Cognitive Radio (CR) capabilities to WSN. Cognitive characteristics provide some features that make WSNs different to Cognitive Wireless Sensor Networks (CWSNs). However, cognitive capabilities entail extra power consumption too. Therefore, the design of strategies must be a task that involves the overall design across all layers of the communication protocol and not only specific improvements without considering consumption in a holistic way.
Internacional
Si
Nombre congreso
International Conference on Advances in Cognitive Radio.COCORA 2012
Tipo de participación
960
Lugar del congreso
Chamonix / Mont Blanc, France
Revisores
Si
ISBN o ISSN
978-1-61208-197-7
DOI
Fecha inicio congreso
29/04/2012
Fecha fin congreso
02/05/2012
Desde la página
63
Hasta la página
66
Título de las actas
COCORA 2012 : The Second International Conference on Advances in Cognitive Radio
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Elena Romero Perales (UPM)
  • Autor: Javier Blesa Martinez (UPM)
  • Autor: Octavio Nieto-Taladriz Garcia (UPM)
  • Autor: Alvaro Araujo Pinto (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica
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