## 3 Proposed Scheduling Scheme
### Problem Definition  
This work addresses scheduling and power allocation in SDN-based IoT applications. This is resolved by introducing the CS3 in this article. In this case, the user estimates the cumulative congestion and power management. The power allocation and service distribution are processed to the network and analyzed by the scheduling approach. The point-of-contact-based infrastructure is used to derive the congestion-free service transmission. Joint scheduling and power allocation are addressed here by proposing probabilistic balancing and deep recurrent learning. In this work, the SDN is derived for the service distribution, whereas the control plane indicates power management. In this evaluation step, the service is shared by deploying the concurrent processing. The following equation derives the service sharing that deploys power management and service handling. \[\mu(h_{a})=\left(\frac{r_{0}}{\sum_{v_{0}}^{M}s}\right)\times(s_{u}+i_{d}) \times\left(\frac{N+r_{a}/X}{a_{0}}\right)+\prod_{r_{0}}[(a_{0}\times b^{ \prime})-e_{t}]\times c_{k} \tag{1a}\]  
The determination is made for service sharing between the user and the devices in SDN-based IoT applications. Here, the problem definition is addressed by estimating the congestion in the data transfer to the other devices. In this computation step, the concurrent processing is derived that deploys service sharing and resource allocation. In this evaluation step, concurrent processing is carried out for the service distribution among the dynamic user densities and point-of-contact-based infrastructure. Here, the service sharing is performed for the valid user by deploying the reliable distribution to the device in an SDN network-based IoT application. The service sharing is performed for the other devices in the network, and it is represented as \(h_{a}\); the determination is denoted as \(\mu\). In this process, the distribution is estimated for scheduling. Scheduling is performed for the devices in the IoT application termed as \(S\). In this processing step, congestion is addressed and decreased, and it is represented as \(N\); the power allocation is estimated for the user and the device is termed as \(a_{0}\). The user and the number of users in the network are defined as \(r_{0}\) and \(r_{n}\), and the device and number of devices are represented as \(v_{0}\) and \(v_{n}\), respectively; service distribution is termed as \(i_{d}\). The access is provided to a valid user, and it is denoted as \(c_{k}\) and \(V\); balancing is performed for the data transmission, and it is represented as \(b^{\prime}\). The time is calculated for a better examination of data analysis, referred to as \(e_{t}\); an examination is performed for the congestion in data forwarding, and it is denoted as \(X\). The resources in the network are estimated for the sharing represented as \(s_{u}\); the power management is denoted as \(M\). The following equation determines resource access for the requested user-centric method. \[\mu(c_{k},s_{u})=\prod_{V}^{r_{0}}\left(N\times X\right)+v_{n}\times\left( \frac{S}{a_{0}+r_{0}}\right)+\left(h_{a}(V)+r^{\prime}-e_{t}\right) \tag{1b}\]  
Resource access is provided to the valid end-user, who deploys concurrent service sharing in the IoT application. Here, the SDN is used to deploy service sharing, and power allocation is estimated for reliable data computation. The transmission is carried out for the network devices and estimates the scheduling for the user. In this computation step, power management is performed to derive the concurrent service handling from the end-user. The examination is conducted for the service distribution and power allocation method for the end-user, and it is denoted as \(r^{\prime}\). The valid user accesses the information by forwarding it from the power management system. Scheduling is performed to estimate the better processing of devices in the SDN and provides the power allocation for further processing. Here, the resource is derived for the requested user and the balancing access is estimated.