Research On UAV Classification And Resource Cache

With the blowout development of wireless communication services,wireless data needs are spread all over the world.As a new communication method,UAV-assisted communication plays an increasingly important role in wireless communication services,especially in communication emergency services under the conditions of ground base station failure or natural disasters.Compared with traditional ground base stations,the unmanned aerial vehicle base station has strong mobility and low deployment cost,enabling it to be quickly deployed in special environments;the relatively poor endurance and low resource load limit the application space of the unmanned aerial vehicle base station.How to provide users with the maximum benefit of UAV base station deployment strategy under the conditions of limited endurance and load capacity is the main problem to be solved in this paper.The main research contents of this article are as follows.Firstly,taking the number of data resources required in the area as the background,a drone dispatching strategy based on fuzzy comprehensive evaluation(analytic hierarchy process)is proposed for the dispatching of UAV base stations under different load capacity and maneuverability.The dispatch strategy is based on the condition of the mobility and load capacity of the UAV base station,and it is divided into different service models;the revenue,energy consumption and service efficiency indicators of different service models are evaluated according to the amount of data requested by the service area;The optimal strategy based on fuzzy comprehensive evaluation(analytic hierarchy process)is given to analyze the quantitative relationship between service models and service performance to obtain the optimal deployment strategy for UAV base stations.Secondly,in the context of large-scale regional data resource requests,for the UAV cache problem,the user group division problem under the condition of random user distribution is preprocessed,and a user division strategy based on hybrid clustering algorithm is proposed.Taking the service performance of the UAV base station as a constraint,the user is divided into regions according to the user’s distribution location,and then according to the popularity ranking of the file,the resource of the UAV is cached using Zipf law.This article regards the UAV cache problem as a knapsack problem to solve.The central idea of the knapsack problem is to maximize the value of cache resources.The objective function is defined as a modest function.Cache solution for human-machine value.Finally,experimental simulation and data comparison and analysis are conducted for the UAV dispatching strategy based on fuzzy comprehensive evaluation(analytic hierarchy process)and the user division strategy based on hybrid clustering algorithm to verify the effectiveness of the algorithm.