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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CSTNWS29UHE
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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Here in this paper a MAC layer level clogging detection system has been projected. The planned model aims to explores a system to compute the degree of clogging at victim node with maximal accuracy. This clogging detection apparatus is integrated with a Two-Step Cross Layer Clogging Control Routing Topology. The proposed model involves controlling of clogging in two steps with effective energy capable blocking detection and optimal cost of routing. Packet drop in routing is mostly due to link crash and clogging. Most of the existing clogging control solutions do not have the ability to distinguish between packet loss due to link collapse and packet loss due to clogging. As a result these solutions aim towards action against packet drop due to link malfunction which is an unnecessary effort and ends with of energy resources. The other limit in most of the available way out is the utilization of energy and resources to detect clogging state, degree of clogging and alert the source node about blocking in routing path. This paper explores a cross layered model of clogging recognition an control mechanism that include energy efficient clogging detection, Multicast Group Level Clogging Evaluation and Handling Algorithm [MGLCEH] and Multicast Group Level Load Balancing Algorithm [MGLLBA], which is a hierarchical cross layered base clogging recognition and avoidance model in short can refer as Qos Optimization by cross layered clogging handling (MGLCEH). This paper is supported by the investigational and simulation results show that better store utilization, energy efficiency in clogging detection and clogging control is possible by the proposed topology.
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