Efficient content transmission algorithm based on multi-community and edge-caching in ICN-SIoT.

With the popularization of 5G, the number of mobile devices has gone through explosive growth, the information and contents in the network have become richer, and the scale of the Social Internet of Things (SIoT) has been expanding. However, massive content transmission has also increased the burden of SIoT. In order to break through the limitations of IP architecture in addressing scheme, user interest mining and content caching, this article introduces Information-Centric Networking (ICN) into SIoT and proposes an ICN-SIoT solution. To reduce network latency, lower energy consumption, and avoid node death in large-scale data transmission, this paper designs a cloud-edge collaboration-based ICN-SIoT framework and constructs a content transmission algorithm based on multi-community and edge-caching (CTME). CTME dynamically detects two kinds of communities for mobility-supported routing of two types of packets defined in ICN, which effectively reduces packet forwarding times and node energy consumption, and avoid node death due to energy exhaustion. It also uses edge caching to manage node cache space to contribute to effective data transmission. The experimental results show that CTME has an outstanding performance in reducing energy consumption and improving data transmission efficiency. This study will be of great relevance to the development of SIoT. [ABSTRACT FROM AUTHOR]