Design and Optimization of Route Selection in Wireless Sensor Networks using Fuzzy Logic and Genetic Algorithm

Abstract

Due to the advancements in the selection process of routing, several researchers have given their solutions which have faced several issues. Considering this fact, a combination of fuzzy and genetic algorithm has been proposed in the paper. The proposed work evaluates the shortest distance between the sources to the destination. In the traditional fuzzy approach,  the parameters were speed, energy and hop count only.  Thus, the proposed method extends the number of parameters, the performance parameters such as Distance and Delay in the system to enhance the proficiency of the work  In the proposed work, fuzzy approach has used to calculate the fitness value and the genetic algorithm has used to optimize the results. Consequently, the experiential analysis has performed between the proposed work and the traditional in terms of different parameters such as throughput, Packet delivery ratio and the packet loss. From the analysis, it has concluded that the proposed work outperforms the traditional approach where the total numbers of packets sent at the destination are higher and acquires the shortest distance from source to the destination.