Personalized Preference and Social Attribute-Based Data Sharing for Information-Centric IoT

With the rapid increase in the number of smart devices connected to the Internet of Things (IoT), network traffic has imposed serious overload on backhaul networks and led to network congestion. Data sharing among IoT devices through multi-hop communication between smart devices is expected to ease increasing pressure of backhaul traffic. In this paper, we propose a personalized preference and social attribute based data sharing framework for information-centric IoT, aiming to improve success rates of data sharing among IoT devices and reduce data sharing delays. This framework proposes personalized preferences and social attributes to reduce data response time and avoid data delivery failures caused by obsolete FIB and broken reverse paths. The experiment results justify the advantages of the proposed framework in terms of data sharing success rates and delays.