Social Correlation Group generation mechanism in social IoT environment
Deok-Hee Kang, Hoan-Suk Choi, Woo-Seop Rhee · 2016
The Social Internet of Things enables cooperation with devices in various domain networks to provide Internet of Things applications. But, as the number of relationships between humans or devices will increase dramatically, device generates a lot of messages when requesting data. Also, in the centralized manner, the server sends data individually to each device even if they need same data. It causes increasing network traffic. Therefore, the way to minimize discovery area and traffic costs is needed. To solve this problem, we propose the Social Correlation Group. It leads to find required data cost-efficiently by minimizing the discovery area.