ANFIS Aided AODV Routing Protocolfor Mobile Ad Hoc Networks

Abstract

Communication between mobile nodes is the key purpose of Mobile Ad Hoc Networks (MANETs). However, increase in the traffic leads to multiple challenging issues like congestion among nodes, consumption of more bandwidth, high energy requirement and low efficiency output. A powerful solution to these issues of the MANET is to use intelligent routing protocols. The Adaptive Neural Fuzzy Inference System (ANFIS) is one of those advanced technique which adjust itself according to the change in system. Therefore, the use of ANFIS in routing protocol results in efficient guiding of packet from source to destination. In this paper, the route selection mechanism of traditional Ad Hoc on Demand Distance Vector (AODV) routing protocol is improved with the use of ANFIS having input attributes hop count, energy consumption and delay. Simulation of the proposed ANFIS Aided AODV (AAODV) shows the clear improvement in quantitative parameters like Throughput and Packet Delivery Ratio (PDR).