• Mr. Rahul,

The WBSN (wireless Based Sensor Network) facilitates machine communication and gathers data from the surrounding environment for transmission to the base station. Using this strategy, the source node can be identified and avoided during the path discovery phase, resulting in secure data transmission along the path specified by the source node. The proposed work also has the advantage of not relying on the link between the nodes, which is a compelling argument. The simulation is carried out with the help of the MATLAB software. As a result, we tend to conclude that our algorithmic rule outperforms the associated existing approach in all aspects of path establishment. The goal of this research is to determine how much energy is left after allocating the node and performing a thousand rounds of calculations. In this case, the proposed method is based on counting the energy aggregation methods. It is possible that security research in WBSN (wireless Based Sensor Network) will consume a significant amount of time. We have only scratched the surface of what is available in this field. This thesis investigates the estimation of WBSN energy, and this methodology has the potential to be improved in order to mitigate additional threats. The WBSN energy level of each node was detected after approximately three thousand rounds of simulation, and the rapid decline in network energy was also recorded using machine learning methods. However, the proposed energy estimation using ML algorithm was successful in identifying from the network, resulting in energy and overall life of WBSN estimation.

WBSN (wireless Based Sensor Network), ML Algorithm, Energy Estimation

"Energy Estimation of Wireless Sensor Network Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.b628-b633, September-2021, Available :http://www.jetir.org/papers/JETIR2109176.pdf

"Energy Estimation of Wireless Sensor Network Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppb628-b633, September-2021, Available at : http://www.jetir.org/papers/JETIR2109176.pdf