Smart Routing using Fuzzy System and Genetic Algorithm

This paper deals with the uncertainties in the communication network. The uncertain factors affect the mutation of the path. The uncertain factors are measured with the help of fuzzy representation. According to the best suitable fit the natural growth takes place. It defines the reasons and properties of mutation. Fuzzy factors discloses the present environmental condition, network condition etc. This paper address possible path problem from a different surface of fuzzy and genetic algorithm. Transfer of packet in the network is being affected by human and natural prospect. Improper channel condition, congestion, human error, natural calamity, knowledge about the path is the uncertain factors that affect the travel. Depending on the uncertain factors decision is made on the selection of the possible path. Finding the most suitable and safe path is the work achieved. The innovation tries to address smart routing, considering the inputs from the surrounding.