Node Selection In The Social Internet Of Things Case Study

Node Selection in the Social Internet of
Things:Challenges and Possible Strategies
G.Ananthi, M.Radhai, S.V.Veera Kanmani
Thiagarajar College of Engineering
Madurai 625 015, INDIA [e-mail], [e-mail], [e-mail]
Abstract: The Internet of Things (IoT) is expected to be over- populated by a very large number of objects, with intensive interactions, heterogeneous communications, and millions of services. Consequently, scalability issues will arise from the search of the right object that can provide the desired service. A new paradigm known as Social Internet of Things (SIoT) has been introduced and proposes the integration of social networking concepts into the Internet of Things. The underneath idea is that
The network traffic, both in terms of the number of accesses to the devices and of the number of queries received by the search engines, will soon become too large to be managed efficiently by the existing platforms. Additionally, nowadays the interaction model is based on humans looking for information provided by objects (human–object interaction), but in the near-future this model will quickly shift to the object– object interaction, where objects will look for others to provide composite services for the benefit of the humans, increasing the interaction complexity. Consequently, scalability issues will arise from the search of the right object that can provide the desired service.
The Internet of Things promises to be a source of great benefits to our lives but it definitely will be a source of difficulty for designers of telecommunication networks and applications unless appropriate new communication paradigms are identified. We strongly believe that what will definitely meet the needs of users, designers, and developers is an social approach to the Internet of Things
A common feature is that these engines are based on centralized systems and, as such, cannot scale properly with the number of devices or/and the number of queries.
To cope with scalability issues of centralized systems, a new paradigm known as Social Internet of Things (SIoT) has been introduced [4]. SIoT proposes the integration of social networking concepts into the IoT solutions.
In the SIoT, every node is an object capable of establishing social relationships with other things in an autonomous way according to rules set by the owner. A SIoT network is based on the idea that every object can look for the desired service by using its relationships, querying its friends and the friends of its friends in a distributed manner, in order to guarantee an efficient and scalable discovery of objects and services following the same principles that characterize the social networks for humans.
The objective of this thesis is to analyze possible strategies for the benefit of overall network navigability, the performance in terms of giant components, average degree of connections, local clustering, and average path length and also understand the potential causes, which have been found to be linked to the number of hubs in the