# Mobility Support 5G Architecture with Real-Time Routing for Sustainable Smart Cities
## 3 The Proposed Architecture  
In this section, first, a summary is given of the proposed architecture. Later, the development components are described as depicted in Figure 1. In the first component, the medical nodes are categorized into peer-to-peer associations referred to as clusters. The clusters enable a decentralized communication platform and facilitate the connected nodes over the 5G communication system for gathering and transmitting the information. In addition, the transmission among clusters achieves a high throughput ratio by utilizing efficient bandwidth evaluation. The proposed architecture deploys gateway nodes around every cluster for the management of the IoT nodes. To integrate the mobility feature in the 5G architecture, a mobile sink is utilized that rotates in the proximity of the gateway nodes. It fulfills the demands of end-users regarding data collection and sharing for emergency purposes on time and then increases the delivery performance even if the connected number of users increases. The second component distributes the secret information between connecting nodes using the Rabin cryptosystem by utilizing the gateway's capabilities. Accordingly, the connected nodes within clusters can authenticate each other and avoid the entrance of unauthorized nodes. The medical data is protected based on multi-secured levels with nominal computing and processing overheads. Moreover, the application users are mutually authenticated in storage centers before accessing the online data with nominal processing costs. In the beginning, the medical network is structured in the directed graph \(G(N,\ \epsilon)\), which consists of nodes \(N\) and edges \(\epsilon\). The nodes can be any sensor, physical device, \begin{table}
\begin{tabular}{c c c} \hline \hline
**Comparative Approaches** & & **Contributions and Limitations** \\ \hline \multirow{8}{*}{Existing solutions} & \(\bullet\) & Many solutions offer quality-aware services and lead to higher bandwidth and improved data delivery performance. \\  & \(\bullet\) & However, most of the solutions face connectivity problems when the load on IoT nodes increases especially in 5G mobile networks. \\  & \(\bullet\) & Due to frequent network disconnectivity issues, it was also observed that most of the proposed solutions have a high data latency for real-time applications. \\  & \(\bullet\) & It was also noticed that 5G communication offers attention to many real-world network technologies for the growth of promising solutions with the collaboration of cloud and mobile infrastructure. \\  & \(\bullet\) & However, most of the network technologies with the collaboration of the 5G network lack security and communication trust. \\ \hline \multirow{3}{*}{Proposed architecture} & \multicolumn{2}{c}{A solution was developed using a 5G network for real-time public health application that increases the sustainability of complex operations in the presence of unpredictable events. It also facilitates application users with high communication bandwidth and optimal performance.} \\ \cline{1-1}  & & \\ \cline{1-1}  & & \\ \cline{1-1}  & & \\ \cline{1-1}  & & \\ \cline{1-1}  & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Summary of discussed work. or computing resource for sensing and processing medical data. All the entities are interconnected with neighbors with predefined distances and limited transmission power. During communication, if any entity moves from one cluster, it can be part of another cluster by utilizing the predefined distance factor. The proposed architecture makes use of centroid-based computation and produces various clusters by partitioning the \(n\) IoT nodes. The proposed architecture avoids the chances that the same network device may be a part of more than one cluster to decrease the issue of congestion. The proposed architecture exploits greedy search for the grouping of medical nodes and decreases the overall communication cost. Let us consider that \(m_{i}\) is the set of medoids [53] and are selected greedily, such that \(i\) e \(k\).