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Routing method based on q-learning and trust model in vehicular ad hoc network

A vehicle-mounted self-organization and trust model technology, applied in the field of communication, can solve the problems of not forwarding or discarding data packets, transmitting data, and considering routing paths from a global perspective, so as to achieve the effect of improving reliability.

Active Publication Date: 2022-03-04
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the problem that when there is a malicious cluster head node in the network in the prior art, the malicious cluster head node will not forward or discard the received data packets, resulting in network connectivity failure
It also solves the problem that in the routing search process in the prior art, only the cluster head node with the largest trust value is selected from the range of one hop each time for data transmission, and the selection of the routing path is not considered from a global perspective, and it is easy to fall into a local optimum and cannot find The problem of transmitting data on the most reliable routing path

Method used

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  • Routing method based on q-learning and trust model in vehicular ad hoc network
  • Routing method based on q-learning and trust model in vehicular ad hoc network
  • Routing method based on q-learning and trust model in vehicular ad hoc network

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Embodiment Construction

[0043] Attached below figure 1 The specific steps of the present invention are further described.

[0044] Step 1, clustering the vehicular ad hoc network.

[0045] Vehicles and roadside units (RSUs) in urban areas are used as nodes to form a vehicle ad hoc network.

[0046] The roadside unit RSU refers to a fixed device that can be independently deployed on both sides of the road to collect data.

[0047] Use side length as The mesh division of the vehicular ad hoc network, where r represents the communication radius of the node.

[0048] All nodes in each grid form a cluster, and each node in each cluster is a cluster member node.

[0049] Step 2, select the cluster head node of each cluster in each grid.

[0050] Using the distance formula, calculate the direct distance between each cluster member node in each grid and the center point of the grid where it is located.

[0051] The distance formula is as follows:

[0052]

[0053] Among them, d ji Indicates the di...

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Abstract

The invention discloses a routing method based on Q learning and a trust model in a vehicle self-organizing network, which mainly solves the problem of establishing an optimal routing path in the vehicle self-organizing network in the prior art. The present invention realizes step is: (1) clustering is carried out to vehicle self-organizing network; (2) select the cluster head node of each cluster in each grid; (3) calculate the trust of cluster head node in each grid (4) maintain the cluster head node in each grid; (5) save the Q value to the routing table; (6) intra-cluster node communication; (7) inter-cluster node communication; (8) routing path established . Compared with the prior art, the present invention effectively improves the security and reliability of the routing path by calculating the trust value of the cluster head node and dynamically selecting the optimal routing path by using the Q learning method.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a routing method based on Q-learning and a trust model in a vehicle-mounted ad hoc network in the technical field of network communication. The present invention can be used to find a safe routing path in the vehicular ad hoc network, uses a trust model to evaluate the trust of the cluster head nodes elected by the clustering algorithm in the vehicular ad hoc network, and uses the Q learning method to dynamically select the optimal routing path for data transmission. Background technique [0002] The vehicle self-organizing network is an embedded wireless network with self-organizing capabilities composed of several relatively independent vehicle nodes and roadside units RSU. The efficient and normal operation of the network depends on the high reliability of the vehicle nodes in the network And operate in an honest and collaborative manner with each other. [0003]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/12H04W84/18
CPCH04W40/12H04W84/18
Inventor 董庆宽丁文静陈原姚雪马晓潇刘至球王蕾
Owner XIDIAN UNIV