Alternative Path Creation Based on Hybrid Fuzzy-Genetic Approach to Congestion Control in Wireless Sensor Networks

In this paper, a hybrid fuzzy techniques and genetic algorithms have been used simultaneously. That both of them used for routing with congestion control approaches. Here, used 4 inputs for fuzzy interfaces system. If there are a number of different routes, the genetic algorithm is used. GA is not to follow the shortest route, most reliable path specified here. Reliability route determined with parameters such as the amount of energy, load of route. The results show that the proposed method does not depend on the network topology. The proposed method is suitable for use in high-density environments.

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