An Energy-Efficient Routing in Cellular Network to Improve Data Transmission Efficiency in Edge Users

Wireless mobile networks have risen greatly in the world of telecommunication networks, because of their simplicity and speed of establishment. With the emergence of global commerce, the globe drew closer and wanted to connect freely, without limits of time and geography. Mobile wireless networks without dependent on infrastructure are widely referred as mobile ad- hoc networks. Cellular Network provides customers a sensation of having a “free” readily available network when, either there is little or no infrastructure or the present infrastructure is costly or cumbersome to use. The pathways in 5G wireless Network are completely chosen by continually changing component nodes which makes route finding harder. The present research is an effort to give a technique for effective route finding in the area of Cellular Networks. In this paper proposed a weighted PSO_LSTM model for effective routing. Initially, the routes are assigned with weights for the estimation. Upon the estimation of weights, optimization is performed with PSO model. The effective path for the prediction is performed through Long Short-Term Memory (LSTM) based network. The simulation analysis expressed that the proposed weighted PSO_LSTM model exhibits a higher PDR rate for the varying density of nodes. The increase in PDR leads to increased edge user performance in the network.