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ISSN 2063-5346
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AN ENERGY EFFICIENT LOW LATENCY MANET USINGCHIMP OPTIMIZATION AND ADVERSIAL LEARNING NETWORKS (COAL)

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P. Vijayan , Dr. P. Anbalagan , Dr. S. Selvakumar
» doi: 10.31838/ecb/2023.12.s1.096

Abstract

Energy efficient computing devices overthe network arecomprised of Mobile ad hoc networks to connect various applications. The major constrained to be considered with the manners are security to the hubs and energy efficient delivery of data. Communication between each node is monitored in order toprovide energy efficient delivery. Versatile mobile ad hoc networks face various challenges in terms of productive energy and direction of security to the convention. The proposed approach considers energy efficient delivery as an important constraint and Secure communication over the mobile ad hoc networks and optimised process need to be developed the proposed approach consider network for predicting the future malicious activities available in the network that data flow. Depending on energy levels available in edge nodes data transmission is initiated. Oscillated nodes are coupled to get there and worked with ChimpOptimisation algorithm to make and route that manage that dynamic performance of mobile ad hoc networks. Generalizedadvisor networks are utilised here to learn the changing pattern ofnetwork for the specified nodes and suggest the route for future communication with minimum propagation delay. Dynamic of loading of low energy data using a hold and release of cycle method is implemented here the proposed approach with the customised edge dynamic mobile ad hoc network consider various real time perspectives in terms of performance energy and security to be comfortable with state of art approaches

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