Dynamic Routing Method of Stereo Heterogeneous Network in Emergency Scenario Based on UAV

Abstract

The present invention is based on the dynamic routing method of the three-dimensional heterogeneous network in the emergency scene of the UAV. The method can adapt to the fusion network of dynamic topology changes, and the UAV is used as the relay node to form the relay node, and the nodes in the same area do not communicate. , the node communication in different areas is routed through the UAV node relay, and the ground node is only used as the end node in the route. In each communication process, the method includes the following steps: Step A: respectively Nodes model the scene; step B: improve the link weight on the basis of the traditional OLSR protocol, and select the routing path as cost=α×ETT+β×E i +(1‑α‑β)×T as the benchmark; Step C: The core idea of ​​the OLSR routing protocol is to select the MPR set to reduce routing overhead. The improved LBMRE‑OLSR abandons the classic MPR set selection algorithm, The selection of the MPR set is based on the node's expected transmission time, node energy and node congestion degree.

Description

technical field [0001] The invention belongs to the technical field of network communication, and specifically relates to a dynamic routing method of a three-dimensional heterogeneous network in an emergency scene based on an unmanned aerial vehicle. Routing with frequent changes in dynamic topology in emergency scenarios reduces end-to-end delay, lowers packet loss rate and solves network congestion problem at the same time. Background technique [0002] In the case of sudden natural disasters and public events, multiple nodes communicate at the same time, the ground communication facilities may be destroyed, the ground network will be severely congested, and the original communication method is difficult to continue to connect, so communication in emergency scenarios is particularly important . The space-space-ground integrated heterogeneous network can solve the problem of network congestion and it can make the network have wider coverage, better connectivity, and strong...

AI Technical Summary

Problems solved by technology

[0007] 1. The "integrated" routing of the air-space-ground network in the true sense has not been realized, and more is hierarchical routing

[0008] 2. The random movement characteristics of UAVs in the near-space network are not fully grasped, and the routing protocol used cannot realize the dynamic changes of the network topology well.

[0009] 3. Multi-dimensional resources between different layers (including link state and node state) are not taken into account when routing

[0010] 4. The routing in the traditional mobile ad hoc network is not suitable for high-speed mobile UAV nodes and UAV networks with frequent topology changes

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