Description

Underwater Acoustic Sensor Networks (UASNs), which plays an important role in the marine resources exploration and development, integrated ocean environmental monitoring and other related systems. UASNs can be seen as three dimensions since nodes are deployed in the ocean. Meanwhile, the deployment of nodes in UASNs meets more difficulties due to the limitations of underwater environment and costs. It is important to achieve high network lifetime in underwater acoustic sensor network. Some time it may happen when one or more nodes wants to communicate with sonobouys means it leads to overhead. For avoiding this situation we propose KOCA algorithm which provides non overlapping situation while communication. Also we propose FNR algorithm which is based on concurrent working of genetic algorithm [GA] and grade diffusion [GD] algorithm. This algorithm will increase the number of active nodes by reducing the rate of data loss and rate of energy consumption. Simulation result shows our proposed KOCA and FNR provides better result compared than EGRC