Visible to the public Edge Learning Based Green Content Distribution for Information-Centric Internet of Things

TitleEdge Learning Based Green Content Distribution for Information-Centric Internet of Things
Publication TypeConference Paper
Year of Publication2019
AuthorsShen, Qili, Wu, Jun, Li, Jianhua
Conference Name2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
Date Publishedjul
Keywordscontent distribution, decision making, Decision trees, distributed coding, distributed coding based content transmission, edge computing, edge learning, encoding, green computing, green content distribution scheme, IC-IoT, IC-IoT requirements, Information Centric Network, Information Centric Networks, information-centric internet of things, information-centric networking, intelligent, intelligent path selection, Internet, Internet of Things, learning (artificial intelligence), network distribution, network quality, network traffic, pubcrawl, quality of service, Real-time Systems, resilience, Resiliency, revolutionary future networking architecture, Routing, Scalability, telecommunication traffic
AbstractBeing the revolutionary future networking architecture, information-centric networking (ICN) conducts network distribution based on content, which is ideally suitable for Internet of things (IoT). With the rapid growth of network traffic, compared to the conventional IoT, information-centric Internet of things (IC-IoT) is expected to provide users with the better satisfaction of the network quality of service (QoS). However, due to IC-IoT requirements of low latency, large data volume, marginalization, and intelligent processing, it urgently needs an efficient content distribution system. In this paper, we propose an edge learning based green content distribution scheme for IC-IoT. We implement intelligent path selection based on decision tree and edge calculation. Moreover, we apply distributed coding based content transmission to enhance the speed and recovery capability of content. Meanwhile, we have verified the effectiveness and performance of this scheme based on a large number of simulation experiments. The work of this paper is of great significance to improve the efficiency and flexibility of content distribution in IC-IoT.
Citation Keyshen_edge_2019