Enhancing Routing Efficiency and Performance in Mobile Ad-Hoc Networks Using Deep Learning Techniques

MANET stands for Mobile Ad-hoc Network also called wireless Ad-hoc Network or Ad-hoc Wireless Network. It is a decentralized wireless network consisting of mobile devices (nodes) that communicate with each other without relying on a fixed infrastructure. MANET forms a highly dynamic autonomous topology with the presence of one or multiple different transceivers between modes. MANETs consist of a peerto-peer, self-configuring and self-healing modes. Mobile Ad-hoc Network has wide range of applications such as military and defense operations, healthcare, sensor networks, wireless sensor networks, Internet of Things (IoT) etc. In order to enhance the routing efficiency and performance in Mobile Ad-Hoc Networks (MANETs) this paper proposing different deep learning techniques.