Intensive Path Loss Analysis and Improve Energy Efficiency over Wireless Mobile Sensor Network using Hybrid Routing Model

The quality of wireless channels is the sole determinant of data transmission in a mobile network setting. Communication channels affect the correctness of each packet. A fundamental problem in wireless mobile networks is path loss. As a result, historical approach route loss models are incorrect and need a lot of time and effort to implement in a specific setting. By utilizing an innovative technique for spatially understandable introduction from accessible nearby channels, the proposed framework contributes to an adaptable demonstration of manner misfortune. With our Double Regression (DR) model, both the sender and receiver can relocate without experiencing a sudden shift in route loss. Using a transient fading model, such as Rayleigh fading, we can demonstrate that the NS-2 simulator and DR are in sync. Using the estimations, we can accept the precision model in a variety of contexts while also demonstrating that the precise presentation of way misery has a major impact on reproducing behavior. Data transmission security may be improved by combining the AES and DES algorithms into a new method called Visual AES, in addition to the work described in this paper.