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International Journal of Intelligent Computing and Information Sciences
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Dawood, S., Abuelenin, S., Atwan, A. (2016). FAULT NODE RECOVERY ALGORITHM FOR ENHANCINGTHE LIFETIME OF AWIRELESS SENSOR NETWORK. International Journal of Intelligent Computing and Information Sciences, 16(4), 65-78. doi: 10.21608/ijicis.2016.19826
S. Dawood; S. Abuelenin; A. Atwan. "FAULT NODE RECOVERY ALGORITHM FOR ENHANCINGTHE LIFETIME OF AWIRELESS SENSOR NETWORK". International Journal of Intelligent Computing and Information Sciences, 16, 4, 2016, 65-78. doi: 10.21608/ijicis.2016.19826
Dawood, S., Abuelenin, S., Atwan, A. (2016). 'FAULT NODE RECOVERY ALGORITHM FOR ENHANCINGTHE LIFETIME OF AWIRELESS SENSOR NETWORK', International Journal of Intelligent Computing and Information Sciences, 16(4), pp. 65-78. doi: 10.21608/ijicis.2016.19826
Dawood, S., Abuelenin, S., Atwan, A. FAULT NODE RECOVERY ALGORITHM FOR ENHANCINGTHE LIFETIME OF AWIRELESS SENSOR NETWORK. International Journal of Intelligent Computing and Information Sciences, 2016; 16(4): 65-78. doi: 10.21608/ijicis.2016.19826

FAULT NODE RECOVERY ALGORITHM FOR ENHANCINGTHE LIFETIME OF AWIRELESS SENSOR NETWORK

Article 6, Volume 16, Issue 4, October 2016, Page 65-78  XML PDF (2.84 MB)
Document Type: Original Article
DOI: 10.21608/ijicis.2016.19826
Authors
S. Dawood; S. Abuelenin; A. Atwan
Faculty of computers and Information, Mansoura University, Egypt
Abstract
Wireless Sensor Network (WSN) is type of network which consists of collection of tiny device called sensors nodes. In real wireless sensor networks, the sensor nodes use battery power supplies and thus have limited energy resources. This paper decrease the number of fault node and loss data and number of routing in the network based on enhanced Grade Diffusion with using Shortest Best Path .In the simulation, number of hop, power consumption, fault detection accuracy and time number of neighbour nodes measure the proposed algorithm. The proposed algorithm is also compared with distributed fault detection (DFD) and fault node recovery (FNR).
Keywords
WSNs; failure detection; failure recovery algorithm; Grade Diffusion; and dead node Shortest Save Path; and Fault Node Recovery
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