An approach to localize the blind node and optimizing parameters by using PSO

In this paper, an optimization technique is proposed in order to optimize various parameters such as energy, attenuation. Localization of blind node is accomplished with minimum error under different operating environment respectively. The problem of node localization is considered with the help of ML estimation technique in wireless sensor networks. In this paper, we consider the problem of high bandwidth utilization due to multilinks between sensors and parameters were not optimized according to signal strength. We introduce an optimization technique in order to localize a blind node in both homogeneous environment respectively. Based on the simulations, we compare performances of ML estimation and optimization technique in both the environments respectively.