## 5 Discussion  
To address the RQ1, we need to examine how the S2 NeTM architecture enables social relationships among IoT devices, and facilitates communication and data sharing within a network. The S2 NeTM is composed of several components, which are responsible for managing and coordinating the interactions between IoT devices. One of the key components is the _SEs_, which is responsible for providing a semantic layer to IoT devices. This semantic layer is based on the S2 NeTM ontology, and enables devices to understand each other's data and metadata. The ontology includes concepts and relationships that enable the representation of social relationships among IoT devices, such as _co-location_, _co-work_, _co-semantics_, and _user_ relationships. In addition, the S2 NeTM includes mechanisms for discovering and communicating with other devices in the network. This includes protocols for device discovery, device registration, and message routing. By using these mechanisms, devices can establish and maintain social relationships with each other, which facilitates communication and data sharing within the network. Furthermore, the S2 NeTM provides a semantic repository, which is used to store and manage the data and metadata associated with IoT devices. In this case, we use Neo4j as our semantic repository, which enables efficient querying and retrieval of data based on the S2 NeTM ontology. The ontology alignment and reasoning mechanisms enable the integration of data from different sources, and the inference of new relationships based on existing data. To address RQ2, we need to examine the benefits of using the S2 NeTM in IoT environments and how it compares to other solutions. The benefits of using the S2 NeTM in IoT environments are explicit. Firstly, it enables the development of more advanced and sophisticated applications that require a social network of things. For example, in smart home environments, the S2 NeTM can be used to create a social network of appliances, which can work together to optimize energy consumption, automate tasks, and provide personalized services to users. Secondly, the S2 NeTM can support large-scale IoT deployments, making it suitable for a wide range of applications in various domains. This scalability is achieved using distributed architectures and cloud-based technologies that allow the S2 NeTM to handle a high volume of data and requests. Additionally, the use of a graph database such as Neo4j as the semantic repository ensures that the S2 NeTM can handle complex relationships and queries efficiently. Traditional middleware solutions often rely on a client-server architecture, which can be limited in terms of scalability and performance. In contrast, the S2 NeTM uses a distributed architecture that allows for greater scalability and performance. Additionally, \begin{table}
\begin{tabular}{c c} \hline \hline
**Performance Metric** & **Result** \\ \hline Setup Time & 3.1 secs \\ Processing Delay & 0.5 secs \\ Memory Usage & 100 MB \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Performance metrics of the Green Route application. the S2 NeTM provides a semantic layer that enables devices to understand each other's data and metadata, which can lead to more efficient communication and data sharing. Finally, the S2 NeTM is designed to be user-friendly and easy to use, even for non-experts in semantic technologies. The use of standardized ontologies and reasoning mechanisms ensures that the infrastructure can be easily customized and adapted to different use cases and applications. To answer RQ3, we can discuss how the S2 NeTM can be customized and adapted to support specific use cases and applications in different domains. The S2 NeTM ontology provides a generic framework for describing devices, their capabilities, and their social relationships, which can be extended and adapted to support specific use cases in different domains.