Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (4): 262-269.doi: 10.11896/jsjkx.190300111

• Computer Network • Previous Articles     Next Articles

Task Intelligent Identification Method for Spatial Information Network

YANG Li1,2, LI Xin-yu1,2, SHI Huai-feng1,2,3, PAN Cheng-sheng1   

  1. 1 Communication and Network Lab,Dalian University,Dalian,Liaoning 116622,China;
    2 College of Information Engineering,Dalian University,Dalian,Liaoning 116622,China;
    3 Automated Institute,Nanjing University of Science and Technology,Nanjing 210094,China
  • Received:2019-03-22 Online:2020-04-15 Published:2020-04-15
  • Contact: SHI Huai-feng,born in 1989,master,lecturer,is a member of China Compu-ter Federation (CCF).His main researchinterests include space-ground integra-ted network technology and heterogeneous link aggregation methods in wireless networks.
  • About author:YANG Li,born in 1982,Ph.D,professor,is member of China Computer Fe-deration(CCF).Her main research intere-sts include spatial information network transmission technology and wireless communication network protocol theory and methods.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61722105,61801073) and Equipment Pre-research Foundation(6140449050116JW61001)

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Abstract: With the continuous development of inter-satellite link technology and the maturity of on-board processing technology,the types of tasks transmitted by spatial information networks are growing and diversifying.It presents a new challenge to the multi-service coordinated transmission of spatial information networks and the global scheduling of network resources.However,traditional spatial information network resource scheduling is mostly driven by a single service,ignoring the one-to-many relationship between tasks and services.This causes some low-priority tasks to preempt network resources of high-priority tasks,resulting in lower quality of service for spatial information network tasks composed of multiple services.In addition,the spatial information network transmission environment has the characteristics of high dynamic topology change and limited node resources.The traditional task identification method cannot identify the spatial information network task with high efficiency and low cost.Therefore,this paper designed a task service support station and deployed it at the edge of the spatial information network.The support station is composed of an recognition tag module,a route control module and a data communication module,which completes the task type identification and routing and data transmission based on the task quality of service requirements.On this basis,the existing identification methods only identify the single sub-service of the task,ignoring the one-to-many relationship between the task and the service,and can not meet the service quality requirement of the task.By introducing the feature space mapping based on Gaussian kernel function,the service recognition algorithm based on support vector machine was designed.Further,based on the introduction of environmental feature items,the business type,quantity and environmental feature items were combined to design a task identification algorithm based on gradient descent method.The simulation results show that the proposed task identification algorithm has good recognition accuracy and recall rate,and has less recognition time and recognition overhead.The average accuracy of task information recognition for spatial information network reaches 95%,which is increased by 1%.The average training time for feature dimension reduction is reduced by 15%.

Key words: Feature dimension reduction, Gradient descent method, Spatial information network, Support vector machines, Task identification

CLC Number: 

  • TP391
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