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• W4380085943 abstract "The goal is to enhance the routing standards’ performance by employing a multipath scheme and the hop count-based routing parameter for the ad hoc networks for fulfilling the QoS prerequisites for various application congestions. The enhancement of the quality of routing services for application domains with different types of traffic problems—particularly multimedia-based applications. The scheme’s design assesses the values of EED and PLR in MAC layer associations and the estimation of service time of DCF over the CSMA/CA strategy. These values are aggregated with loads acquired from the application congestion categorization employing a cross-layer scheme for initiating new routing parameters appropriate for QoS prerequisites of applications. The conventional multipath standards work only over the network layer and use constant routing parameters, paving the way to evade route preferences for various congestion types from the application layer. By using suitable self-routing parameters of End-to-End Delay (EED) and Packet Loss Rate (PLR) for application congestion types which planning new Multipath Routing Standards (MRS) termed as QCLF using NS-2 based on which the acquired outcomes offer performance assessment where the performance of the designed scheme outdoes the AOMDV standard in terms of improved PDR, minimal congested overheads, increased Packet Delivery Ration (PDR), and minimal EED for Type 1/Type 2 congestions." @default.
• W4380085943 created "2023-06-10" @default.
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• W4380085943 date "2023-01-01" @default.
• W4380085943 modified "2023-09-27" @default.
• W4380085943 title "Quality of Smart Health Service for Enhancing the Performance of Machine Learning-Based Secured Routing on MANET" @default.
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• W4380085943 doi "https://doi.org/10.1007/978-3-031-23602-0_29" @default.
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