A Dynamic Resource Scheduling Scheme in Edge Computing Satellite Networks

Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Lei Shi

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

The LEO satellite network has been a valuable architecture due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide reliable computing services for access terminals will be the indispensable paradigm of integrated space-air-ground network. However, the design of resource division strategy in edge computing satellite (ECS) is not easy, considering different accessing planes and resource requirements of terminals. Moreover, network topology, available resources and relative motion need to be analyzed comprehensively to establish ECS collaborative network for emergency situations. To address these problems, a three-layer network architecture combined with software defined networking (SDN) model is proposed to guide the inter-satellite link (ISL) connection and ECS resource scheduling. The advanced K-means algorithm (AKG) and breadth-first-search-based spanning tree algorithm (BFST) are provided to realize ECS resource division and ISL construction respectively. Simulation results show that the proposed dynamic resource scheduling scheme is feasible and effective.

Original languageEnglish
Pages (from-to)597-608
Number of pages12
JournalMobile Networks and Applications
Volume26
Issue number2
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Edge computing
  • Inter-satellite link
  • LEO satellite network
  • Resource scheduling
  • Software defined networking

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