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Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting

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Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting

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Alrajeh, NA.; Khan, S.; Lloret, J.; Loo, J. (2014). Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting. Adhoc and Sensor Wireless Networks. 22(1-2):109-133. http://hdl.handle.net/10251/51078

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Title: Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
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Abstract:
[EN] Energy consumption is the important factor when designing any mechanism for wireless sensor network (WSN). Research community is trying to enable energy harvesting mechanisms to provide long term energy source to WSN. ...[+]
Subjects: Wireless sensor network , Security , Energy exhaustion attack , Cluster , Energy harvesting , Artificial neural network
Copyrigths: Cerrado
Source:
Adhoc and Sensor Wireless Networks. (issn: 1551-9899 ) (eissn: 1552-0633 )
Publisher:
Old City Publishing
Thanks:
The authors extend their appreciation to the Research Centre, College of Applied Medical Sciences and the Deanship of Scientific Research at King Saud University for funding this research.
Type: Artículo

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