Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Enhancing the lifetime of wireless sensor networks had baffled researchers for quite some time now. The authors of this research manuscript draw inspiration from the behavior of large elephant swarms and incorporate their behavior into wireless sensor networks. The complex elephant swarm behavior is incorporated using a cross layer approach. The elephant optimization discussed in this paper enables optimized routing techniques, adaptive radio link optimization and balanced scheduling to achieve a cumulative enhanced network performance. The proposed elephant swarm optimization is compared with the popular protocol. The experimental study presented proves that the Elephant Swarm Optimization technique enhances the network life time by about 73%.
Chandramouli H. 2013. \u201cEnhancing Network Lifetime in Wireless Sensor Networks Adopting Elephant Swarm Optimization\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E4): .
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Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 109
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Chandramouli.H, Dr. Somashekhar C Desai, K S Jagadeesh, Kashyap D Dhruve (PhD/Dr. count: 1)
View Count (all-time): 246
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Publish Date: 2013 04, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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Enhancing the lifetime of wireless sensor networks had baffled researchers for quite some time now. The authors of this research manuscript draw inspiration from the behavior of large elephant swarms and incorporate their behavior into wireless sensor networks. The complex elephant swarm behavior is incorporated using a cross layer approach. The elephant optimization discussed in this paper enables optimized routing techniques, adaptive radio link optimization and balanced scheduling to achieve a cumulative enhanced network performance. The proposed elephant swarm optimization is compared with the popular protocol. The experimental study presented proves that the Elephant Swarm Optimization technique enhances the network life time by about 73%.
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