Air-ground integrated Internet of Vehicles relay selection method based on state transition probability

Abstract

The invention belongs to the technical field of air-ground integrated Internet of Vehicles communication, and discloses an air-ground integrated Internet of Vehicles relay selection method based on state transition probability. The method comprises the steps of constructing an air-ground integrated Internet of Vehicles model composed of V vehicle nodes and U unmanned aerial vehicle nodes; constructing an information transmission mechanism between the mobile nodes based on the air-ground integrated Internet of Vehicles model; constructing a state transition probability between the mobile nodesbased on the information transmission mechanism between the mobile nodes; based on the state transition probability between the mobile nodes, constructing an information identification method based ona multiple-input-multiple-output technology; and constructing a relay selection method based on the state transition probability on the basis of the information transmission mechanism between the mobile nodes, the state transition probability and the information identification method. The method can be applied to an urban intelligent traffic system, the relation among vehicles, unmanned aerial vehicles and users is enhanced, and a real-time, accurate and efficient comprehensive transportation and information transmission system is built.

Description

technical field [0001] The invention belongs to the technical field of air-ground integrated vehicle networking communication, and in particular relates to a relay selection method for air-ground integrated vehicle networking based on state transition probability. Background technique [0002] Currently, the closest existing technology: Air-Ground Integrated Vehicle Networking A special vehicle-mounted ad hoc network usually consists of multiple vehicles on the ground and multiple drones in the sky. As the core infrastructure of modern intelligent transportation, air-ground integrated vehicle networking has received extensive attention. Through the communication between vehicles and vehicles, vehicles and UAVs, and UAVs and UAVs, air-ground integrated Internet of Vehicles can provide various types of services, including road safety, entertainment demand services, and location-based services. . In the actual application of air-ground integrated vehicle networking, with the ...

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Problems solved by technology

[0005] (1) Prior art - by deriving the curve equation of the optimal relay node area envelope, when deriving the curve equation of the optimal relay node area envelope, due to the limited operating memory and storage memory of the mobile node, a large number of The calculation will lead to the occurrence of node crashes, etc., which is difficult to apply in actual scenarios

[0006] (2) Prior art 2 proposes a relay selection method based on average SNR. It needs to fully estimate the average SNR of all relay nodes and has a large additional overhead. In the dynamic mobile network topology and the impact of battery life The efficiency will be lower

[0007] (3) The third prior art proposes to select the appropriate relay based on the instantaneous channel state information obtained by local measurement. The success of selecting the best relay transmission path depends on the node's real-time statistics of the current wireless channel. The real-time statistics need to be in the same Obtaining a large amount of information at all times will cause information collisions, which may cause useful information to be discarded

Existing technology 2: Due to frequent changes in the network topology of air-ground integrated vehicle networking, it is impossible to estimate the average signal-to-noise ratio of all relay nodes in the network in real time, and if the average signal-to-noise ratio of all relay nodes is estimated every time information is transmitted The signal-to-noise ratio will also generate additional overhead. In the case of a certain node energy, excessive overhead will affect the survival time of the node and reduce the network life. Therefore, it is necessary to select the optimal relay node for information transmission under the premise of reducing overhead.

Existing technology 3: This technology selects relay nodes in the network based on real-time statistics of the current wireless channel, but real-time statistics need to obtain a large amount of information at the same time, and collisions between information will occur, resulting in useful information being discarded. The information anti-collision mechanism needs to be designed

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