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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The wireless mobile adhoc networks are dynamically Varying, the network performance may change by different unknown parameters such as the total number of nodes in the network, the transmission power range of the network and area of deployment of the network. The main aim is to increase the efficiency of the system through dynamically changing the trasmission range on every node of the network. contention index is the network performance factor is considered. we presented a study of the effects of contention index on the network performance, considering capacity of the network and efficiency of the power. The result is that the capacity is a concave function of the contention index. if the contention index is large the impact of node mobility is minimal on the network performance. we presented GridMobile, a distributed Network topology algorithm that attempts to shows the best possiblity, by maintaining optimal contention index by dynamically adjusting the transmission range on every nodes in the network
Madhusudan G, Kumar TNR. 2017. \u201cCapacity-aware Control Topology in MANET\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 17 (GJCST Volume 17 Issue E4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
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Neural Networks and Rules-based Systems used to Find Rational and
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The wireless mobile adhoc networks are dynamically Varying, the network performance may change by different unknown parameters such as the total number of nodes in the network, the transmission power range of the network and area of deployment of the network. The main aim is to increase the efficiency of the system through dynamically changing the trasmission range on every node of the network. contention index is the network performance factor is considered. we presented a study of the effects of contention index on the network performance, considering capacity of the network and efficiency of the power. The result is that the capacity is a concave function of the contention index. if the contention index is large the impact of node mobility is minimal on the network performance. we presented GridMobile, a distributed Network topology algorithm that attempts to shows the best possiblity, by maintaining optimal contention index by dynamically adjusting the transmission range on every nodes in the network
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