Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain

Authors

Peiying Zhang, China University of Petroleum (East China), College of Computer Science and Technology, Qingdao, 266580, China & Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, 710071, China
Pan Yang, China University of Petroleum (East China), College of Computer Science and Technology, Qingdao, 266580, China
Neeraj Kumar, Asia University, Department of Computer Science and Information Engineering, Taichung, 41354, Taiwan & King Abdul Aziz University, Jeddah, Saudi Arabia & University of Petroleum and Energy Studies, School of Computer Science, Dehradun, 248007, India
Mohsen Guizani, Mohamed bin Zayed University of Artificial IntelligenceFollow

Document Type

Article

Publication Title

IEEE Transactions on Vehicular Technology

Abstract

Future communication networks require higher bandwidth, greater coverage, and better throughput. The Space-Air-Ground Integrated Network (SAGIN) has the advantage of wide-area coverage and can cover global communications. It can meet the needs of network resources for maritime activities and remote mountainous areas, which is of great significance to the realization of a new generation of communications networks. With the development of the network and the emergence of delay-sensitive applications such as the Internet of Things, improving the delay performance of the system has received extensive attention. SAGIN involves multiple networks and is more complex than other networks. If there is no reasonable management between different networks, it is easy to lead to difficult link deployment and high time delay. On the basis of research and customization of SFC technology, it can provide a wide range of services and other advantages. It has significant performance in application scenarios involving multi network integration. In order to solve the above problems, this paper studies the SAGIN architecture of SFC based on business types. A service function chain mapping method based on delays prediction is proposed. Calculate the delay of the deployment path and select the path with the lowest delay as the SFC mapping path. The service model is constructed according to the mapping path, and the network slices are divided based on the service type. The simulation results show that the SFC mapping algorithm based on time delay prediction is compared with the traditional SFC mapping scheme. The algorithm does not affect other indicators, the CPU resource utilization rate is 27.8% higher, and the link resource utilization rate is 22.7% higher. The service acceptance rate increased by 21.5%, the latency performance increased by 38.2%, and the total resource consumption is reduced by 25.2%. © 1967-2012 IEEE.

First Page

7730

Last Page

7738

DOI

10.1109/TVT.2022.3165145

Publication Date

7-1-2022

Keywords

Delay sensitive, Resource allocation, Service function chain, Space-air-ground integrated network, Chains, Delay-sensitive applications, Heterogeneous networks, Internet of things, Job analysis, Quality of service, Wide area networks

Comments

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Recommended Citation

P. Zhang, P. Yang, N. Kumar and M. Guizani, "Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain," in IEEE Transactions on Vehicular Technology, vol. 71, no. 7, pp. 7730-7738, July 2022, doi: 10.1109/TVT.2022.3165145.