Advanced Service Search Model for Higher Network Navigation Using Small World Networks

Abstract

Social Internet of Things (SIoT) is a new standard resulting from the integration of the Internet of Things (IoT) and social networking. IoT is a visionary, one-paradigm, whereas social networks are platforms where voluminous collaborations between humans exist. The SIoT is defined as a social network of objects that are not only smarter but also socially conscious. Fundamental requirements of both IoT and SIoT networks include efficient service search and the discovery of object mechanisms. Therefore, our paper proposes a simple model for social networks to discover the object or services by using a small-world network. Our proposed model comprised a set of objects, and where each object is looking for a service. The service search is initiated in different hops by an object using a service query message to the nearest object. If the requested object is identified immediately or at the first hop, a permanent link is established between the service requester and the service provider otherwise the search process is repeated until the service is discovered. In this study, we integrate the SIoT with the small world concept for the building of our model. Our proposed model guarantees that the object containing the information is in a bounded path length and is treatable owing to the structure of small-world networks. The process of search is efficient because it is initiated only when an object asks for another object or service. Our intention here is to increase the navigability of the network. We carefully performed numerical analyses for our model and presented the simulation results based on efficiencies such as average path length, clustering coefficient, service execution time, and the giant component. After conducting various experiments, we conclude that our proposed model is efficient and reflects the real network structures of small-world networks, therefore, it can be suitable for social networks.

Automated Service Search Model for the Social Internet of Things

“…The SIoT is not completely deployed to date, so most of the experimentations are performed in an IoT environment by using different tools. For instance, we have used Network X in this study [8]. Network X is one of the famous tools that is widely used for fetching unstructured information.…”

“…Network X is one of the famous tools that is widely used for fetching unstructured information. Network X is an independent platform used for the creation, manipulation, and identification of structures in complex networks [8]. In this section, the first part presents the details of the social IoT dataset and then performed visualization and social network analysis (SNA) of our proposed model.…”

“…Several approaches for real-time search have been proposed in the literature, but none of them is offering a complete and satisfactory solution yet. The existing systems are inefficient because they are based on global network navigability [8]. Thus, the limited network navigability, and the selection and searching of suitable services will be a major challenge [8].…”

“…The existing systems are inefficient because they are based on global network navigability [8]. Thus, the limited network navigability, and the selection and searching of suitable services will be a major challenge [8]. In general, service search and service composition both depend on network navigability, which is considered a major issue especially when the network is very large and has billions of connected devices [9].…”

Artwork Style Recognition Using Vision Transformers and MLP Mixer

“…Following [17], we present the motivation for this work, along with the letter contributions and the organization of the rest of this work.…”