Internet-of-Vehicles information transmission method based on unmanned aerial vehicle assistance

Abstract

The invention belongs to the technical field of Internet-of-Vehicles communication, and discloses an Internet-of-Vehicles information transmission method based on unmanned aerial vehicle assistance. Aiming at the problems in the prior art, an information transmission problem is formalized into a multi-objective optimization problem related to state transition probability and transmission consumption, transmission is carried out by utilizing an opportunity transmission mode of 'storage, carrying and forwarding', the state transition probability is set to simplify the original problem, the algorithm complexity is reduced, and finally, the proposed multi-objective optimization problem is solved on the basis of a Q-learning technology. Compared with other information transmission methods, themethod has the advantages that the network transmission success rate can be effectively improved, the routing overhead, the transmission delay and the transmission hop count are reduced, the algorithmcomplexity is low, the method is more suitable for the urban environment, and the intelligent traffic is realized.

Description

technical field [0001] The invention belongs to the technical field of Internet of Vehicles communication, and in particular relates to an information transmission method of Internet of Vehicles assisted by an unmanned aerial vehicle. Background technique [0002] The Internet of Vehicles refers to a dynamic mobile communication system that exchanges information between vehicles, vehicles and roads, and vehicles and people, and realizes network communication between vehicles and the public. It is an important application of the Internet of Things in the field of transportation, and it is also the inevitable result of the development of the mobile Internet and the Internet of Things in the field of transportation. It will realize the integration of intelligent traffic management control, vehicle intelligent control and intelligent dynamic information services, which can greatly improve human health. every aspect of life. However, at large spatial scales, factors such as obst...

AI Technical Summary

Problems solved by technology

[0004] The above technologies have enhanced the network performance of UAV-assisted Internet of Vehicles, but there are still deficiencies that need to be improved

Specifically, the existing technology maximizes the success rate of information transmission based on the state transition probability, but this technology ignores the optimization of transmission consumption (energy consumption and delay consumption), which may cause the node to exit the network prematurely due to energy exhaustion occur

The existing technology 2 considers the impact of transmission consumption on network performance, but the transmission success rate of this technology is low

In addition, the computational complexity of prior art 1 and prior art 2 is relatively high, and it is difficult to directly apply them in practical applications

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