Network topology self-healing method based on dynamic priority

Abstract

The invention belongs to the technical field of broadband ad-hoc network, and relates to a network topology self-healing method based on dynamic priority, including steps: A1, starting up the nodes, constructing a TDMA star network centered on the main node, and starting the self-healing priority of the main node Level evaluation generation mechanism, child nodes initialize self-healing priority; A2, master node broadcasts self-healing priority parameters to all child nodes in each superframe; A3, child nodes load broadcast timeout timer value; A4, child nodes broadcast Timeout countdown, while listening to the broadcast signal, if the timer times out, the child node has not received the broadcast signal from the master node, the child node starts the self-healing mode; A5, the child node receives the broadcast signal and parses the broadcast signal, extracts and updates the self-healing For priority information, go to step A3. The invention realizes the effectiveness and reliability of the candidate master node, reduces the possibility of network out of control when the network master node fails, and can be widely used in the broadband Mesh network.

Description

technical field [0001] The invention relates to the technical field of broadband ad hoc network for mobile communication, in particular to a network topology self-healing method based on dynamic priority. Background technique [0002] With the maturity of equipment such as drones and unmanned vehicles, the use of a large number of unmanned equipment to replace traditional labor has become the first choice in complex environments. Correspondingly, the information interaction between unmanned devices is increasing exponentially, and the human-in-the-loop control mode poses higher challenges to the high-speed and real-time characteristics of information transmission, and communication in large-scale networks and complex environments has become increasingly influential. The key to the efficiency of unmanned systems. [0003] The traditional 3G / 4G public network-based transmission mode has a delay of 20 to 60 ms, and the base station-based mode has an insurmountable bottleneck. ...

AI Technical Summary

Problems solved by technology

Once the traditional TD multi-hop Mesh network fails due to failure of the master node, the entire network needs to be planned offline, and the communication can only be resumed after resetting the master node. The network is prone to a control vacuum state, which brings huge risks to the entire system

Pre-set priorities cannot quickly respond to changes in the network situation, and are prone to network splits or self-healing failures

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