Abstract: In MANET route optimization is the basic requirement to improve the QOS of the network. QOS may be well explained in terms of optimize distance, reliable energy, time response etc. To improve the quality of service we use different changes in MANET protocols, its parameter, routing algorithm etc. In the proposed work we are also improving the QOS by modifying the routing algorithm. The proposed routing algorithm is inspired from the genetic approach. The proposed work is implemented using the FIGA(Fuzzy Improved Genetic Algorithm) As in initializing phase we will select the shortest path and one alternative aggregative path. The shortest path selection always returns the congestion over the network. Instead of using the shortest path we will select a genetic inspired path. In this work, the selection of the next cross over child path will be identified based on cyclic fuzzy logic. The whole process will optimize the routing algorithm to improve the QOS. The proposed work is implemented on MATLAB 7.1 environment.
Keywords: FIGA (fuzzy improved genetic algorithm), QOS (quality of service), MANET (mobile ad-hoc network), ROUTE, Fuzzy, MATLAB (Matrix in Laboratory).
