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Multi-path delay sensing optimal route selecting method for cognitive network

A cognitive network and multi-path technology, applied in the field of cognitive multi-path optimal routing, can solve problems such as the inability to accurately learn the current state of the network, the low accuracy of the perception results, and the rough delay.

Inactive Publication Date: 2010-09-15
XIDIAN UNIV
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Problems solved by technology

However, this method is still a relatively rough study of time delay, and cannot accurately learn the current state of the network, resulting in low accuracy of perception results.

Method used

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  • Multi-path delay sensing optimal route selecting method for cognitive network
  • Multi-path delay sensing optimal route selecting method for cognitive network
  • Multi-path delay sensing optimal route selecting method for cognitive network

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[0105] refer to Figure 7 , the small arrows on the path in the example of the present invention indicate that each node interacts with the cognitive inquiry CognitiveHello packet and the cognitive response Cognitive Echo packet to transmit the Q value, and the CH and CE marked on the small arrow represent the Cognitive Hello packet and Cognitive Echo packet respectively. Figure 7 The time axis in is marked with the change of the selected path and route life over time. The specific process is described as follows:

[0106] Assume that the source node S has a voice service with a priority of 2 to be sent to the destination node D at a certain moment. The source node S queries the routing table and finds that there is no routing entry to the destination node D, and initiates a route discovery process. After the route discovery process, the source node establishes three paths to reach the destination node D successively, which are path S-A-D, path S-B-C-D, and path S-E-F-D. O...

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Abstract

The invention discloses a multi-path delay sensing optimal route selecting method for a cognitive network, which comprises the following steps of: dividing service into different classes; establishing a plurality of paths through route discovery; adopting an end-to-end delay recorded in the route discovery process as an initial value of a Q value; updating the Q value of the path by utilizing a Q learning algorithm, and introducing the estimation of node queue delay and the estimation of channel contending delay during updating; selecting an activating path according to the Q value to send a data package; reducing route control packet overhead by utilizing the Q learning algorithm; and when the plurality of paths cannot meet the requirement of QoS of the service, beginning the process again. The method has the advantages of quick transmission of advanced service, short path delay, high routing efficiency and high network load bearing capacity, and can be used for a cognitive wireless network.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a cognitive multipath optimal routing method, which is used in a cognitive wireless network. Background technique [0002] By adopting an appropriate learning mechanism, such as a reinforcement learning algorithm, the cognitive network can perceive the current state of the network without obtaining complete environmental information, and reconfigure the parameters of the network according to the perceived state to adapt to the current state of the network. The ever-changing network environment improves the performance of the network. As a reinforcement learning algorithm, the Q-learning algorithm can use environmental rewards to find and execute optimal behaviors when the environmental model is unknown. The document "Cognitive Network Management with Reinforcement Learning for WirelessMesh Networks" proposes a wireless network routing method that uses the Q-learning...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/12H04W40/24
CPCY02D30/70
Inventor 盛敏乐天助史琰李建东李红艳龙春燕
Owner XIDIAN UNIV
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