With the continuous development of artificial intelligence technology,the construction of smart rural areas occupies an important position In order to accelerate the construction of the smart rural platform network,research is being conducted on building a unmanned aerial vehicle(UAV)aerial collaborative wireless network system to obtain agricultural related aerial collaborative loca-tion information.At the same time,combining with artificial intelligence resource allocation algorithms,which focus on optimal loca-tion matching and achieve location matching through the Hungarian algorithm,thus achieving resource allocation.The results indicate that as the maximum number of connections at the air access point increases,the total latency decreases.When the number of ground sensing nodes is within 300,the total delay does not exceed 600 ms.The total latency has been reduced from 597ms to 402ms,resul-ting in a reduction of 195ms.This indicates that the system improves performance,accelerates processing speed,and shortens re-sponse time.The improvement method can effectively reduce transmission delay in communication systems,improve data transmission efficiency,and have good adaptability to the increase in the number of ground users and the increase in task volume.The research and design of resource allocation strategies are conducive to achieving intelligent management and optimized allocation of wireless net-work resources,which provides strong support for the construction of smart rural areas.
维普
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