计算机科学
架空(工程)
延迟(音频)
计算机网络
方案(数学)
电信
数学
操作系统
数学分析
作者
Lanlan Rui,Shiyue Dai,Zhipeng Gao,Xuesong Qiu,Xingyu Chen
标识
DOI:10.1093/comjnl/bxac125
摘要
Abstract In recent years, Named Data Network (NDN) has become a popular network architecture because of high resource utilization, strong security and high transmission efficiency. Meanwhile, mobile multimedia communication has become the mainstream with the popularization and application of smart terminals. Most of the research on NDN mobility is focused on consumer mobility without taking producer mobility into account. To solve the delay and high cost carried by producer moving, we propose a Double-Lead content search algorithm based on neighbor and proxy and a location prediction algorithm based on traffic features. We use a neural network model to predict a new location of producers and calculate route before switching, which can save the rerouting latency in advance when predicting accurately. In a few cases of inaccurate predictions, we select different search methods according to the distance of the producer’s movement, to complete the Double-Lead search between the producer and the consumer. Experimental results show that DLPNDN can reduce the delay and traffic overhead well in NDN when the producer moves.
科研通智能强力驱动
Strongly Powered by AbleSci AI