## 4 Proposed Algorithm EEWBP  
### Energy Model  
This study was carried out to decrease energy consumption during the execution of the main tasks by WSNS nodes within a network. Therefore, there is a great need for an effective energy model for the WSNs to increase lifespan and coverage. The energy categories included in this model correspond to the following operational stages: activation, channel auditing, receiving packets, packets transmitting, switching, processing, and shutting off microcontrollers. The proposed EEWBP measures energy dissipation using a simple radio model. The radio model has a transmitter, amplifier, and receiver. The transmitter uses energy to execute circuitry operations like a radio signal to broadcast, amplify, and receive signals.  
During data transmission to a receiver, the power amplifier gives off heat and the receiver uses energy to maintain the circuitry on the receiver end. There are two models of how information spreads: free space and multipath. Open space or multi-channel propagation models can be used depending on how far the sender and receiver are from each other [19]. If the distance is less than a certain threshold, the free space model (fs) is used. The multipath model (\(\mathrm{M}\mathrm{p}\mathrm{}\)) is used if the distance exceeds the threshold. Equation (2) shows how much energy it takes to send a message with l-bits at a distance of \(\mathrm{d}\).  
\[\mathrm{E}_{\mathrm{T}\mathrm{x}}\;(\mathrm{l},\mathrm{d})=\mathrm{E}_{\mathrm{ T}\mathrm{x}-\mathrm{elec}\;(\mathrm{l})}\;+\;\mathrm{E}_{\mathrm{T}\mathrm{x}- \mathrm{amp}}\;(\mathrm{l},\mathrm{d}) \tag{1}\]  
\[\mathrm{I}\mathrm{E}_{\mathrm{elec}}+\;1\;\in_{\mathrm{fs}}\;\mathrm{d}^{2} \;\;\;\mathrm{d}<\mathrm{d}_{0}\]  
\[\mathrm{I}\mathrm{E}_{\mathrm{elec}}+\;1\;\in_{\mathrm{fmp}}\;\mathrm{d}^{4} \;\;\;\mathrm{d}<\mathrm{d}_{0}\]  
\[\mathrm{d}_{0}=\frac{\sqrt{\in_{\mathrm{fs}}}}{\in_{\mathrm{fmp}}} \tag{2}\]  
Moreover, the energy expected for obtaining a one-bit message is provided as follows.  
\[\mathrm{E}_{\mathrm{Rx}}(\mathrm{l})=\mathrm{I}\mathrm{E}_{\mathrm{elec}} \tag{3}\]  
The electronics energy denoted by \(\mathrm{E}_{\mathrm{elec}}\) depends upon digital coding, intonation, filtering, and disseminating of the signal. The amplifier energies (\(\in_{\mathrm{fs}}\;\mathrm{d}^{2}\) and \(\in_{\mathrm{fmp}}\;\mathrm{d}^{4}\)) depend upon the distance to the receiver. The novelty of this model is that it has a basic design that consumes less energy than the potential network in wireless sensor models with anomalies in which the consumption of energy is relatively high. In the proposed model, energy is considered a vital indicator of a typical high lifetime of WSNS [18] nodes in a network. Moreover, this enables energy usage to be optimized for individual node operations and overall network performance. The analysis done in this paper is described by monitoring the performance measures that might influence such a model favorably or unfavorably. These are some key points where this study makes a significant contribution. As in our suggested model, it is demonstrated that there is a change in network performance, easy implementation, and no higher processing demands that have led to less consumption of energy.