Unmanned plane synergy message transmission method based on dynamic planning

Abstract

An unmanned plane synergy message transmission method based on dynamic planning comprises the following steps: 1, defining a state function, obtaining a state transition equation and a state transition equation boundary condition; 2, acquiring all unmanned plane positions at all time, and setting conditions; 3, calculating distances between unmanned planes so as to obtain communication capable neighbor nodes of each unmanned plane at the present moment; 4, obtaining transmission next hop of the present moment according to the state transition equation until all moments are iterated and updated, thus obtaining an optimal message transmission object of each unmanned plane at each moment. The method uses a dynamic planning idea to split problems, defines the relation between a problem state and the states, thus solving the problems in a recursion mode, obtaining the minimum message delay formed by the unmanned plane that transmits the message to a certain hop unmanned plane at certain moment, reducing the message transmission time delay, and reducing energy losses caused by message transmission ping-pong effect.

Description

technical field [0001] The invention belongs to the communication field of unmanned aerial vehicles, and specifically relates to an unmanned aerial vehicle cooperative message transmission method based on dynamic programming. By applying the dynamic programming idea to task-driven unmanned aerial vehicle cooperative message transmission, the unmanned aerial vehicle message transmission is reduced The delay time reduces the waste of resources caused by the "ping-pong effect" of transmission. Background technique [0002] Unmanned aerial vehicles (UAVs) are the focus of a new round of technological revolution and industrial revolution in the world, and its industrial development is related to national interests and citizens' rights and interests. Due to the characteristics of relatively low cost, no risk of casualties, strong survivability, good maneuverability, and convenient use, UAVs have unique advantages especially in many complex and dangerous aerial activities. It is w...

AI Technical Summary

Problems solved by technology

However, for networks facing intermittent connectivity, purely geographic routing is not enough

A known approach for intermittent connectivity is considered in the literature as Delay Tolerant Networks (DTN), which in principle are suitable for drone networks, but pure DTN concepts are usually based on limited flooding of mobile nodes and long-term disconnect

Some literature considers the combination of geographic routing and DTN, but the DTNgeo algorithm only considers the position of the drone at the current moment, and selects the drone that is closer to the target node for transmission at this moment, without considering the changing position of the drone information, causing time delays and ping-pong effects in message transmission

Images