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Sinopsis
Revision with unchanged content. Wireless Sensor Networks (WSNs) are currently an active research area mainly due to the potential of their applications. However, the operation of a large scale WSN still requires solutions to numerous technical challenges that stem primarily from the constraints imposed by simple sensor devices. Among these challenges, the power constraint is the most critical one, since it involves not only reducing the energy consumption of a single sensor but also maximizing the lifetime of an entire network. Optimizing the energy usage is a critical challenge. The requirements of energy optimization schemes are: (1) Low individual energy consumption, (2) Balanced energy usage, and (3) Low computation and communication overhead. This research concentrates on the energy optimization issues in WSNs. We study the power consumption characteristics of typical sensor platforms, and propose energy optimization schemes in network and application level. We design distributed algorithms that reduce the amount of data traffic and unnecessary overhearing waste in WSNs, and further propose load balancing mechanisms that alleviate the unbalanced energy usage and prolong the effective system lifetime.
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Revision with unchanged content. Wireless Sensor Networks (WSNs) are currently an active research area mainly due to the potential of their applications. However, the operation of a large scale WSN still requires solutions to numerous technical challenges that stem primarily from the constraints imposed by simple sensor devices. Among these challenges, the power constraint is the most critical one, since it involves not only reducing the energy consumption of a single sensor but also maximizing the lifetime of an entire network. Optimizing the energy usage is a critical challenge. The requirements of energy optimization schemes are: (1) Low individual energy consumption, (2) Balanced energy usage, and (3) Low computation and communication overhead. This research concentrates on the energy optimization issues in WSNs. We study the power consumption characteristics of typical sensor platforms, and propose energy optimization schemes in network and application level. We design distributed algorithms that reduce the amount of data traffic and unnecessary overhearing waste in WSNs, and further propose load balancing mechanisms that alleviate the unbalanced energy usage and prolong the effective system lifetime.
Biografía del autor
Mu-Huan Chiang studied sensor networks in the Center of Efficient, Scalable and Reliable Computing (CESR) at North Carolina State University, and received his PhD degree in Computer Engineering in 2007. His research interests include sensor networks, wireless communication, and computer architecture.
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Energy Optimization in Wireless Sensor Networks
Publicado por
AV Akademikerverlag, 2012
ISBN 10: 3639436792
ISBN 13: 9783639436792
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chiang Mu-HuanMu-Huan Chiang studied sensor networks in the Center of Efficient, Scalable and Reliable Computing (CESR) at North Carolina State University, and received his PhD degree in Computer Engineering in 2007. His research int. Nº de ref. del artículo: 4987886
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Energy Optimization in Wireless Sensor Networks
Publicado por
AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639436792
ISBN 13: 9783639436792
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Wireless Sensor Networks (WSNs) are currently an active research area mainly due to the potential of their applications. However, the operation of a large scale WSN still requires solutions to numerous technical challenges that stem primarily from the constraints imposed by simple sensor devices. Among these challenges, the power constraint is the most critical one, since it involves not only reducing the energy consumption of a single sensor but also maximizing the lifetime of an entire network. Optimizing the energy usage is a critical challenge. The requirements of energy optimization schemes are: (1) Low individual energy consumption, (2) Balanced energy usage, and (3) Low computation and communication overhead. This research concentrates on the energy optimization issues in WSNs. We study the power consumption characteristics of typical sensor platforms, and propose energy optimization schemes in network and application level. We design distributed algorithms that reduce the amount of data traffic and unnecessary overhearing waste in WSNs, and further propose load balancing mechanisms that alleviate the unbalanced energy usage and prolong the effective system lifetime. 100 pp. Englisch. Nº de ref. del artículo: 9783639436792
Cantidad disponible: 2 disponibles
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Energy Optimization in Wireless Sensor Networks
Publicado por
AV Akademikerverlag, 2012
ISBN 10: 3639436792
ISBN 13: 9783639436792
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Wireless Sensor Networks (WSNs) are currently an active research area mainly due to the potential of their applications. However, the operation of a large scale WSN still requires solutions to numerous technical challenges that stem primarily from the constraints imposed by simple sensor devices. Among these challenges, the power constraint is the most critical one, since it involves not only reducing the energy consumption of a single sensor but also maximizing the lifetime of an entire network. Optimizing the energy usage is a critical challenge. The requirements of energy optimization schemes are: (1) Low individual energy consumption, (2) Balanced energy usage, and (3) Low computation and communication overhead. This research concentrates on the energy optimization issues in WSNs. We study the power consumption characteristics of typical sensor platforms, and propose energy optimization schemes in network and application level. We design distributed algorithms that reduce the amount of data traffic and unnecessary overhearing waste in WSNs, and further propose load balancing mechanisms that alleviate the unbalanced energy usage and prolong the effective system lifetime. Nº de ref. del artículo: 9783639436792
Cantidad disponible: 1 disponibles
Imagen del vendedor
Energy Optimization in Wireless Sensor Networks
Publicado por
AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639436792
ISBN 13: 9783639436792
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Revision with unchanged content. Wireless Sensor Networks (WSNs) are currently an active research area mainly due to the potential of their applications. However, the operation of a large scale WSN still requires solutions to numerous technical challenges that stem primarily from the constraints imposed by simple sensor devices. Among these challenges, the power constraint is the most critical one, since it involves not only reducing the energy consumption of a single sensor but also maximizing the lifetime of an entire network. Optimizing the energy usage is a critical challenge. The requirements of energy optimization schemes are: (1) Low individual energy consumption, (2) Balanced energy usage, and (3) Low computation and communication overhead. This research concentrates on the energy optimization issues in WSNs. We study the power consumption characteristics of typical sensor platforms, and propose energy optimization schemes in network and application level. We design distributed algorithms that reduce the amount of data traffic and unnecessary overhearing waste in WSNs, and further propose load balancing mechanisms that alleviate the unbalanced energy usage and prolong the effective system lifetime.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Nº de ref. del artículo: 9783639436792
Cantidad disponible: 2 disponibles