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Information center network interest packet forwarding method based on reinforcement learning

An information center network and reinforcement learning technology, applied in the field of information center network, can solve problems such as network congestion, overall network performance degradation, and inability to directly apply ICN, and achieve the effect of small round-trip delay

Active Publication Date: 2018-11-30
HENAN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Although ICN brings hope for users to obtain massive and heterogeneous information, network congestion is a major problem that needs to be solved urgently
However, ICN has unique characteristics, and the congestion control strategies of traditional networks cannot be directly applied to ICN
[0003] ICN adopts the information caching mechanism, which effectively alleviates the congestion problem of several layers of business traffic, but congestion is still unavoidable
When the ICN is congested, the overall performance of the network decreases, reducing the quality of service for users

Method used

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  • Information center network interest packet forwarding method based on reinforcement learning
  • Information center network interest packet forwarding method based on reinforcement learning
  • Information center network interest packet forwarding method based on reinforcement learning

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Embodiment Construction

[0030] In order for those skilled in the art to better understand the technical solutions provided by the present invention, the following will be further elaborated in conjunction with specific embodiments.

[0031] This case will be fully understood by the description of the following embodiments, so that those familiar with the art can complete it, but the embodiments of this case cannot be limited to its implementation form by the following.

[0032] figure 1 For the flowchart of the Exploration stage, the specific steps are:

[0033] (1) When the agent receives n Interest packets, it first queries the forwarding information table (Forwarding Information Base, FIB), and adds a new attribute-Q value in the FIB table, which is used to calculate the prefix-port pair, according to The longest prefix match is used to obtain the candidate port list, and finally the Interest packet is forwarded through all candidate ports. Here, the function H:S×A→R with heuristic knowledge is ...

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Abstract

The invention provides an information center network interest packet forwarding method based on reinforcement learning. The method comprises an exploration stage and a utilization stage, wherein during the exploration stage, a Q value is added into a forwarding information table, a candidate port list is acquired according to the longest prefix matching, departure time and the minimum Q value areadded into a data packet, the Q value of a data packet port data flow is computed via information carried in the data packet, the utilization stage is entered after the N1 interest packets are forwarded; when forwarding the interest packets, an intelligent agent also selects the best forwarding port according to probability, when a probability computing formula is met or the N2 interest packets are sent, the utilization stage is ended, and the exploration stage is entered once again. According to the method provided by the invention, an interest packet forwarding process is converted into a path optimization problem, and thus a congestion problem in a network is effectively solved.

Description

technical field [0001] The invention relates to the technical field of information-centric networks, in particular to an information-centric network interest packet forwarding method based on enhanced learning. Background technique [0002] With the widespread application of massive streaming media services, the current TCP / IP network is gradually approaching its limit in terms of data mobility and security. The traditional network adopts the "push" communication method to obtain content, which leads to the bottleneck of the content provider, and the network is prone to congestion. In order to solve such problems, Information-Centric Networking (ICN) came into being. ICN is a new type of network architecture in Yizhong, which uses an information-oriented communication model to replace the traditional host-oriented communication model. Although ICN brings hope for users to obtain massive and heterogeneous information, network congestion is a major problem that needs to be s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/721H04L12/751H04L12/801H04L45/02
CPCH04L45/08H04L45/14H04L47/12
Inventor 张明川吴庆涛朱军龙郑瑞娟刘婷婷王鑫露陈亚明张风华陈军亚孟维鸣
Owner HENAN UNIV OF SCI & TECH
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