AN ADAPTIVE MANET SYSTEM CONTROLLER MODEL FOR DETECTION AND PREVENTION OF ANNOMALIES

Mobile Ad-Hoc Network is a self-configured network of nodes connected through wireless links. Each node can play a role of host, router & receiver independently. The connectivity is established by operating system hosted on participating nodes. The nodes communicate with each other using optimal routing algorithm. Routing algorithm establishes routes and forwarding information as packets to and from source to sink node. There are many routing techniques existed for attempting 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 such as PDR (Packet Delivery Ratio), AE2ED (Average End 2 End Delay) & routing overhead (Overhead). The performance of Mobile Ad-hoc network can be degraded due to some predominant anomalies. These anomalies in MANET arise due to various environmental factors (like variation in number of connections among participating nodes, variation in mobility speed of nodes, variation in pause time of nodes during mobility, variable data rate in terms of packets forwarded and received by nodes and total density of nodes due to joining or leaving network), 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.