Publication | Closed Access
Trust based QOS protocol(TBQP) using meta-heuristic genetic algorithm for optimizing and securing MANET
28
Citations
13
References
2014
Year
Unknown Venue
Artificial IntelligenceMeta-heuristic Genetic AlgorithmEngineeringAd Hoc NetworkTrust Management ArchitectureSecure RoutingQuality-of-serviceQos ProtocolGenetic AlgorithmInternet Of ThingsParticle Swarm OptimizationTrusted P2p
This paper includes a prospective approach of developing a trust based QOS protocol (TBQP) using meta-heuristic genetic algorithm for optimizing and securing MANET. Genetic algorithm will help in maintaining Quality of Service(QOS) by selecting a fittest i.e. shortest route hence providing better performance. Intelligent optimization approaches or meta heuristic algorithms like, genetic algorithm(GA), neural networks(NN) based on artificial intelligence(AI), particle swarm optimization(PSO) technique and simulated annealing(SA) in the recent years have well consigned QOS issues. Ad-hoc networks face the primary defiance of restraining attacks against data, like, unauthorized data modification impersonation etc caused by malicious nodes in the network. This problem is tackled by trust application in our proposed approach which helps in securing ad-hoc networks.
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