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The Internet of Things (IoT) is continuously growing to connect billions ofsmart devices anywhere and anytime in an Internet-like structure, which enablesa variety of applications, services and interactions between human and objects.In the future, the smart devices are supposed to be able to autonomouslydiscover a target device with desired features and generate a set of entirelynew services and applications that are not supervised or even imagined by humanbeings. The pervasiveness of smart devices, as well as the heterogeneity oftheir design and functionalities, raise a major concern: How can a smart deviceefficiently discover a desired target device? In this paper, we propose aSocial-Aware and Distributed (SAND) scheme that achieves a fast, scalable andefficient device discovery in the IoT. The proposed SAND scheme adopts a noveldevice ranking criteria that measures the device's degree, social relationshipdiversity, clustering coefficient and betweenness. Based on the device rankingcriteria, the discovery request can be guided to travel through criticaldevices that stand at the major intersections of the network, and thus quicklyreach the desired target device by contacting only a limited number ofintermediate devices. With the help of such an intelligent device discovery asSAND, the IoT devices, as well as other computing facilities, software and dataon the Internet, can autonomously establish new social connections with eachother as human being do. They can formulate self-organized computing groups toperform required computing tasks, facilitate a fusion of a variety of computingservice, network service and data to generate novel applications and services,evolve from the individual aritificial intelligence to the collaborativeintelligence, and eventually enable the birth of a robot society.

Intelligent Device Discovery in the Internet of Things - Enabling the Robot Society