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An Adaptive Restoration Method of Tora Protocol Based on Flooding Control Mechanism

An adaptive repair and self-healing technology, applied in the field of mobile Internet of Things, can solve complex problems and achieve the effect of improving delay, improving packet delivery rate, and improving end-to-end delay

Active Publication Date: 2022-02-15
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the MANET network, the mobility of nodes and the limitation of communication distance make data transmission more complicated than traditional networks

Method used

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  • An Adaptive Restoration Method of Tora Protocol Based on Flooding Control Mechanism
  • An Adaptive Restoration Method of Tora Protocol Based on Flooding Control Mechanism
  • An Adaptive Restoration Method of Tora Protocol Based on Flooding Control Mechanism

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Embodiment Construction

[0043] The present invention uses the MATLAB platform to simulate and analyze the AR-TORA-FCS adaptive repair method proposed by the present invention. The protocol of the present invention is compared with the classic TORA protocol, the proposed TORA-p protocol and the TORA-MPR protocol. The average end-to-end delay between nodes, the delivery rate of data packets, and the routing topology control overhead are carried out at different node data packet sending rates, different node moving speeds, different network node numbers, and link failure rates. simulation analysis. See attached figure 1 , the specific implementation process is detailed as follows:

[0044] Step 1. Mathematical model establishment:

[0045] Step 1.1. Establish an optimization formula

[0046] Definition 1. Self-healing node: In any data transmission path of DAG in TORA routing, if the link fails at a certain time, causing the path to fail, the node with a larger height value of the faulty link is cal...

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Abstract

The invention proposes an adaptive repair method of the TORA protocol based on a flood control mechanism, which belongs to the field of the mobile Internet of Things. First, the self-repair process of the self-repair node in the DAG of TORA is converted into an optimal search problem for the optimal node, and Create a formula. According to the Ray-Algorithm search result, it is proved that the search result is the optimal solution of the process of searching for the optimal node. Then the condition algorithm for judging self-repair is given, the condition threshold value for self-repair process initiation is determined, the path is repaired before the path fails, and the algorithm for determining the optimal area is proposed. Both the simulation and experimental results show that the algorithm improves the average end-to-end delay, reduces the control overhead, and improves the packet delivery rate.

Description

technical field [0001] The invention belongs to the field of the mobile internet of things, and in particular relates to an adaptive repair method of the TORA protocol based on a flood control mechanism. Background technique [0002] The development of the communication network not only requires the realization of high-speed data transmission, but also the ability to flexibly build the network topology according to the actual situation, and has the ability to survive. MANET is a self-organizing, reconfigurable multi-hop wireless network that does not depend on infrastructure. Compared with traditional wireless networks, it has the characteristics of temporary establishment, dynamic topology change, low cost, and limited node capacity. In the rescue and disaster relief environment, the communication between the scattered nodes is realized by MANET. In the MANET network, the mobility of nodes and the limitation of communication distance make data transmission more complicate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/0823H04L41/14H04L41/0654H04L41/147H04L45/28
CPCH04L41/0823H04L41/145H04L41/0654H04L41/147H04L45/28
Inventor 张捷张德干刘思邱健宁张婷
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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