Unmanned aerial vehicle ad hoc network multicast routing protocol based on link survival time prediction

Abstract

The invention discloses an unmanned aerial vehicle ad hoc network multicast routing protocol based on link survival time prediction, and the method comprises the steps: predicting the residual link survival time between adjacent nodes according to the change condition of the distance between the adjacent nodes in a routing establishment stage; comprehensively evaluating the link quality on the basis of a prediction result in combination with factors such as routing hops and residual energy, and selecting an optimal relay node to improve the routing reliability; in the data transmission stage, dynamically maintaining the established route through a strategy of combining local route repair and global route refresh, so the problem of frequent link disconnection caused by high-speed movement of the node is relieved, and the data delivery rate is improved. According to the method, the routing stability in the unmanned aerial vehicle ad hoc network in a high dynamic environment is improved, and certain reference and guidance are provided for construction of the unmanned aerial vehicle ad hoc network in practical application.

Description

technical field [0001] The invention belongs to the field of wireless networks, and in particular relates to a UAV ad hoc network multicast routing protocol based on link lifetime prediction. Background technique [0002] In recent years, UAVs have been widely used in civilian and military fields. UAVs can be seen in scenarios such as military strikes, agricultural plant protection, emergency rescue and fire monitoring. Compared with a single drone performing tasks alone, drone cluster operations can effectively overcome a series of problems such as single drones are vulnerable to damage, short operating time, and low execution efficiency. Usually, UAV swarms use self-organizing networks to communicate to reduce their dependence on basic communication facilities. This idea of ​​decentralization can enable drone clusters to effectively resist network attacks and network paralysis caused by damage to a single node. [0003] When a UAV cluster communicates with an ad hoc netw...

AI Technical Summary

Problems solved by technology

Most of the existing multicast routing protocols designed for UAV ad hoc networks rely on the Global Positioning System (GPS) equipment equipped with nodes. However, when the UAV cluster cannot obtain its own accurate positioning Most multicast routing protocols that rely on GPS positioning information cannot guarantee the reliability of established routes when used in scenarios with lush vegetation, areas with severe GPS signal interference, and large indoor warehouses.

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