## 4 Proposed Deep Learning Based Cooperative Communication Channel Model for WUSNs
### Energy Model for DL Based Cooperative WUSN Communication Channel  
One of the most common WUSN routing algorithms is Cooperative communication concentrated routing protocols, in which sensors that make up the network are partitioned into Cooperative cluster nodes subject to constraints. For each of these groups, they work together as a large configuration to collect sensed data [34]. The standard method to figure out how much energy has been lost because transmitters need power to send a (l) level of compliance over a (w) wavelength is:  
\[\mathrm{E_{T}}\left(\mathrm{l,}w\right)=1\left(\mathrm{E_{tx}}+\mathrm{E_{sf} }\times r^{2}\right)\text{, whether }\mathrm{h<h_{0}} \tag{1}\]  
\[\mathrm{E_{T}}\left(\mathrm{l,}w\right)=1\left(\mathrm{E_{tx}}+\mathrm{E_{pm} }\times r^{4}\right)\text{,whether }\mathrm{h\geq h_{0}} \tag{2}\]  
In order to attain a (l) level of functionality, the receiving nodes will also burn a significant amount of energy and the wasted energy, by the receiver:  
\[\mathrm{E_{R}}\left(\mathrm{l}\right)=1\times\mathrm{E_{rx}} \tag{3}\]  
(\(\mathrm{E_{tx}}\)) and (\(\mathrm{E_{rx}}\)), respectively, reflect the actual capacity of each transmission used to power the broadcasters and receiver radio equipment. (\(\mathrm{E_{sf}}\)) and (\(\mathrm{E_{pm}}\)) reflect the power used by packages broadcast to operate the radio amplifier in attenuation and modulating methods over several paths. The below link between (\(\mathrm{E_{sf}}\)) and (\(\mathrm{E_{pm}}\)) can also be used to compute the threshold width [35].  
\[\mathrm{h_{0}}=\sqrt{\mathrm{E_{sf}}+\mathrm{E_{pm}}} \tag{4}\]  
The total power consumption is compensated by the connection between other endpoints in a communication network. The primary function of communications is not only to find the shortest path from a source to a receiver but also to find a far more efficient method to extend the process duration, which could be accomplished using DL methods [36]. Following the detection of environmental elements, the data will be transferred to the source [37]. Information exchange energy consumption (\(\mathrm{E_{tx}}\)) among sensing devices can be expressed as  
\[\mathrm{E_{tx}}=\mathrm{E_{dtx}}\times\mathrm{q}+\mathrm{\acute{E}_{ampl}} \times\mathrm{l}\mathrm{w}^{ar} \tag{5}\]  
where,  
* \(\mathrm{q}\) denotes the maximum number of information packets transmitted;
* \(\mathrm{ar}\) denotes the level of aspect ratio depending on the wireless communication case;
* \(\mathrm{l}\mathrm{w}\) is the length and width of the sensor nodes, which is denoted by \(\mathrm{d}\).
* \(\mathrm{\acute{E}_{ampl}}\) is the set of enhancing equations needed to achieve a low bit error rate and reliable broadcaster responses.
* \(\mathrm{E_{dtx}}\) is the energy dissolute to function for the sender/receiver and is expressed by \[\mathrm{E_{dtx}}=\mathrm{V_{cc}}\times\mathrm{C_{tp}}/\mathrm{q_{dr}}\] (6) where \(\mathrm{V_{cc}}\) indicates the operational power.
* \(\mathrm{C_{tp}}\) species the power for communication procedure
* \(\mathrm{q_{dr}}\) represents the information transmit velocity The energy consumed for data receiving can be expressed as \[\mathrm{E_{Rx}}=\mathrm{E_{drx}}\times\mathrm{q}\] (7)