A Novel framework using Stochastic Gradient Decent Search for optimizing Wireless Sensor Networks

In the past three decades, Wireless Sensor Network (WSN) has become a leading area of research. Now days, WSN plays vital role for all kind of humanoid applications like research, automation, robotic industries etc. Most of the researches are contributing through their research works for WSN to simply the infrastructure, data communication, Security and shortest path signal communication. Eventually we come across the WSN issues and stated that Load Balancing, Security and shortest distance for transmission. Artificial Intelligence is the powerful technology for many kinds of applications. In this paper, we used Stochastic Gradient Decent Search (SGD) algorithm for optimizing the WSN signals.