Optimal path finding using combination of frog algorithm, fuzzy system and SBGA underwater wireless sensor networks

Wireless sensor networks are pervasive networks that energy consuming is the most challenging problem in these networks. In order to properly use energy consumption we introduce a method which is a combination of frog algorithm, fuzzy logic system and Search Based on Gravitational Algorithm (SBGA). Frog-Fuzzy algorithm may fall into loop so the algorithm will not terminate. The proposed method uses SBGA if the frog algorithm traps. We assume that the environment is 3D and sensors are mobile. We also consider quality and load balance of sensor and besides residual energy are given as inputs for fuzzy logic system to estimate the best for decision choosing the node. We tested the performance of the proposed method on different acoustic wavelengths of sensor nodes and we compared it with the state that fuzzy is not applied. Experimental results show that the proposed method has remarkable performance.

کلیدواژه ها:

wireless sensor ، frog algorithm ، SBGA ، fuzzy system ، path finding