RETRACTED ARTICLE: A Secure Machine Learning-Based Optimal Routing in <i>Ad Hoc</i> Networks for Classifying and Predicting Vulnerabilities
Ajay Reddy Yeruva, Esraa Saleh Alomari, S Rashmi, Anurag Shrivastava, M. Kathiravan, Abhay Chaturvedi
Abstract
In both the military and the civilian sectors, next-generation wireless networks can be employed for a wide range of intricate and adaptive applications. It is possible that information won’t be delivered right away. Ad hoc network topologies and wireless services need special wireless technologies for adaptive learning and intelligent decision making to complete this challenging task. Measurements of traffic, latency, mobility, and other mobile network factors assist interactive decision making. The optimal routing using deep learning approach also has a lot of benefits.
Topics & Concepts
Computer scienceAdaptive quality of service multi-hop routingWireless ad hoc networkMobile ad hoc networkComputer networkOptimized Link State Routing ProtocolLatency (audio)Ad hoc wireless distribution serviceWireless networkVehicular ad hoc networkRouting (electronic design automation)Task (project management)Distributed computingWirelessRouting protocolArtificial intelligenceMachine learningTelecommunicationsEngineeringNetwork packetSystems engineeringMobile Ad Hoc NetworksOpportunistic and Delay-Tolerant NetworksEnergy Efficient Wireless Sensor Networks