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A Cognitive Learning-Based Multipath Routing Method for Wireless Ad Hoc Networks

A wireless ad hoc network and wireless ad hoc technology, applied in wireless communications, data exchange networks, digital transmission systems, etc., can solve the problem of real-time changes in network conditions without considering the possibility of multiple shortest paths, and reduce transmission delays. time, the effect of improving the packet arrival rate

Active Publication Date: 2021-05-11
上海微波技术研究所(中国电子科技集团公司第五十研究所) +1
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Problems solved by technology

[0003] The traditional multipath routing protocol research is to meet the quality of service requirements of urgent data by sending data on the shortest path, without considering the possibility of multiple shortest paths and real-time changes in network conditions, so a new An effective multipath routing method to improve the above problems

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  • A Cognitive Learning-Based Multipath Routing Method for Wireless Ad Hoc Networks

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Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0017] figure 1 It is a data packet processing flowchart of a wireless ad hoc network multi-path routing multi-path routing method based on cognitive learning of the present invention, such as figure 1 As shown, a cognitive learning-based wireless ad hoc network multipath routing method of the present invention regards each node in the wireless ad hoc network as an individual with independent learning ability, and forms the entire network into a distributed Intelligent system, and then model the routin...

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Abstract

The present invention provides a wireless ad hoc network multi-path routing method based on cognitive learning, which classifies the priority of transmission data, the low-priority path is a random routing table path, and the high-priority path needs to consider neighboring nodes The length of the buffer queue and the link quality of the nodes are used as the basis for path selection. The high-priority data routing selection process is modeled as a Markov decision process. Through the local information interaction between adjacent nodes, a distributed value function based on reinforcement learning mechanism. The invention can effectively reduce the transmission delay of high-priority data, improve the packet arrival rate, and perform load balancing to a certain extent.

Description

technical field [0001] The invention relates to the field of wireless ad hoc network communication, in particular to a multipath routing method for wireless ad hoc networks based on cognitive learning. Background technique [0002] With the rapid development of wireless ad hoc networks, the focus of wireless network routing technology has changed from reducing network delay and improving network bandwidth utilization to considering efficient energy utilization, balance, robustness, simplicity and improving data transmission reliability. Performance, balance network traffic, provide Qos guarantee, reduce transmission delay and other aspects of transfer. [0003] The traditional multipath routing protocol research is to send data on the shortest path to meet the quality of service requirements of urgent data, without considering the possibility of multiple shortest paths and real-time changes in network conditions, so a new An effective multipath routing method to improve the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/709H04L12/761H04W40/12H04L45/243H04L45/16
CPCH04L45/24H04L45/16H04W40/12H04W40/125
Inventor 郭喆丁良辉
Owner 上海微波技术研究所(中国电子科技集团公司第五十研究所)