  Future IoT is expected to get ubiquitous connection and access in a global
scale. In the meantime, with the empowered communications capability for IoT
devices, IoT will evolve to be highly autonomous, even under the help from
infrastructure, and thus will gradually establish the smart IoT community. One
of the major challenges imposed on the smart IoT communities is the
socialization of IoT communications, because massive IoT accesses make
centralized control very hard and also face the shortage of spectrum resources.
Towards these issues, we in this article first present the overview and
discussions on social features affecting connections among devices. Then, we
motivate studies on the statistical characteristics of social features for
connections among devices towards smart IoT. We further propose the queuing
model under unified asymptotic analyses framework to characterize the
statistical social features, with emphases on typical social metrics such as
credit, reputation, centrality, etc. How to apply these features for network
optimization is further suggested. Finally, we share our opinion on the open
problems of social-aware design towards future smart IoT.
