Adaptive Fuzzy Optimized Routing based on Maximum Energy Support Routing Protocol using Synchronized Sleep\Awake Model Routing Algorithm for WSN

In Mobile Wireless Sensor Network (MWSN), it is important that every node is to be energy efficient to manage the power in the network due to its mobility nature. The major demand limitations are often to microcontrollers for accessing the service in network. Mainly Mobile network system voice, video, message and other information shared in network may vary with topology system. Due to routing failure network performance is very low. To improve the performance, we propose an Adaptive fuzzy optimized routing based on Maximum Energy support routing protocol using Synchronized sleep\awake model routing (SSAMR) algorithm for improving network performance. This system provides better network performance while comparing with the existing system of miniature sensor nodes. All the proposed systems utilize the minimum delivery time for data transmission. Cluster based fuzzy model for route optimization have shown that the proposed technique improves the Throughput ratio 56% effectively.