Optimal Cluster Number Identification using Ant Colony Optimization

Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficient. In order to design the energy efficient routing, the optimization based clustering protocols are more preferred in wireless sensor network. In this paper, we have proposed competent optimization based algorithm called ANT colony Optimization clustering algorithm for creating the energy efficient routing path. WSNs comprise of countless spatially dispersed sensor hubs associated through the remote medium to screen and record the actual data from the climate. The hubs of WSN are battery controlled, so after a specific period it free whole energy. This energy limitation influences the lifetime of the organization. The goal of this review is to limit the generally energy utilization and to boost the organization lifetime. In this paper, a new method to optimize number of clusters is presented with suitable results..