دانلود رایگان مقاله انگلیسی پارادایم MIoT: ویژگی های اصلی و خزنده "ادهاک" - الزویر 2019

Abstract

The Internet of Things (IoT) is currently considered the new frontier of the Internet, and a lot of research results about this topic can be found in the literature. One of the most effective ways to investigate and implement IoT is based on the use of the social network paradigm: Social Internet of Things (SIoT) is an excellent attempt in this direction. In the last years, social network researchers have introduced new paradigms capable of capturing the growing complexity of this scenario. One of the most known of them is Social Internetworking System, which models a scenario comprising several related social networks. In this paper, we investigate the possibility of applying the ideas underlying Social Internetworking System to IoT, and we propose a new paradigm, called MIoT (Multiple Internets of Things), capable of modelling and handling the increasing complexity of this last context. Furthermore, in order to facilitate knowledge extraction and exploitation in presence of a huge number of things, we also propose a crawler specifically designed for an MIoT. Finally, through an experimental campaign, we show that classical crawlers are not adequate for MIoTs, whereas our own is well suited and outperforms all of them in this context.

Conclusion

In this paper, we have presented the MIoT paradigm, aimed to introduce some ideas typical of Social Internetworking Systems in IoT. We have seen that an MIoT can be considered as a set of things connected to each other by means of several kinds of relationship not defined a priori. At the same time, an MIoT can be seen as a set of related IoTs, one for each kinds of relationship existing among things. We have also seen that, in several applications, it is extremely useful a crawling strategy well suited for an MIoT. In fact, we have shown that, in an MIoT, the classical crawling strategies, conceived for single networks (i.e., BFS, RW and MH), perform badly because they are not able to distinguish c-nodes from i-nodes and c-edges from i-edges. Finally, we have presented CDS, a crawler specifically tailored for an MIoT, and we have shown that it outperforms BFS, RW and MH. In our opinion, this paper is not to be intended as an ending point. By contrast, it is a starting point for addressing many challenges in the context of IoT, based on the ideas to adopt Social Internetworking, instead of the much simpler Social Networking paradigm. For instance, we plan to investigate new forms of centralities specifically suited for an MIoT. In fact, we argue that, analogously to what happened for crawlers, the classical centrality measures are not adequate in presence of a set of related IoTs, when it is necessary to distinguish between c-nodes and i-nodes. The new centrality measures should be centered on the main actors of MIoTs, i.e., c-nodes.