Abstract
In large‐scale network mode, congestion may occur in any link at any time, so traffic scheduling becomes a research hotspot. This paper pays attention to the traffic scheduling method in information‐centric networking (ICN). ICN transforms the host‐oriented end‐to‐end communication mode in the traditional network architecture into an information‐centric network architecture, which uses the network in‐network caching to significantly improve the content distribution efficiency. This is applied to traffic scheduling through the introduction of artificial intelligence (AI). Therefore, this paper proposes a traffic scheduling strategy based on particle swarm optimization (PSO) algorithm in ICN. The experimental results demonstrate that the proposed traffic scheduling algorithm in this paper outperforms three benchmarks in terms of average latency, packet loss rate and average throughput.
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