Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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To find out the delay distribution in a disruption tolerant network between the nodes when there are randomly distributed several numbers of replications of packets on each node. This delay distribution function can help us with a guideline on how to set the lifetime of a message. As the number of replicas on the nodes increases the delay increases. Up to our best knowledge it is the first time ever work has been done on simulating the delay distribution environment using the replicas in for finding the delay in DTN. With different number of nodes in a network where each node consists of several number of replicas of the same packet the delay difference is obtained and has been compared with the network consisting of a fewer more number of nodes.
Lokesh Pawar. 2012. \u201cDesign of Simulator for Finding the Delay Distribution in Delay Tolerant Networking\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E14): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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To find out the delay distribution in a disruption tolerant network between the nodes when there are randomly distributed several numbers of replications of packets on each node. This delay distribution function can help us with a guideline on how to set the lifetime of a message. As the number of replicas on the nodes increases the delay increases. Up to our best knowledge it is the first time ever work has been done on simulating the delay distribution environment using the replicas in for finding the delay in DTN. With different number of nodes in a network where each node consists of several number of replicas of the same packet the delay difference is obtained and has been compared with the network consisting of a fewer more number of nodes.
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