DEVELOPMENT OF AN INTELLIGENT MANET SYSTEM MODEL FOR DETECTION AND PREVENTION OF ANNOMALY USING ANFIS

MANET (Mobile Ad-Hoc Network) is a self-configured network of nodes connected through wireless links, in an arbitrary topology. Each node is an independent node, which can play a role of host, router & receiver. The connectivity is established by operating system hosted on participating nodes. Routing algorithm establishes routes and forwarding information as packets to and from source to sink station. Many routing techniques attempt to achieve optimal performance, however modifications are still required in existing routing protocols to improve the performance of MANET. An efficient MANET leads to fulfillment of three key performance metrics:  Maximizing PDR (Packet Delivery Ratio)  Minimizing AE2ED (Average End 2 End Delay)  Minimizing routing overhead (Overhead). There exist some predominant anomalies in Mobile Ad-hoc Network in terms of above performance metrics. Anomalies in MANET arise due to various environmental factors like variation in number of connections among participating nodes, mobility of nodes, pause time of node, rate of data packet forwarded by nodes and total density of nodes, adversely affecting its performance. In order to overcome some predominant anomalies, in this research a systematic approach has been used to develop an intelligent system model, which controls the performance adaptively.