Joint Optimization of Offloading Scheduling and Path Planning for Space-air-ground Integrated Edge Computing Systems

Doyoung Kim, Seongah Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose a joint optimization of offloading scheduling and path planning for space-air-ground integrated edge computing systems so to minimize the total system energy cost. To this end, we formulate the problem, which is solved by an alternating algorithm based on the successive convex approximation (SCA) approach. Via numerical results, the performance of the proposed three-layer edge computing system design is verified.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages230-232
Number of pages3
ISBN (Electronic)9781665499392
DOIs
StatePublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 19 Oct 202221 Oct 2022

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period19/10/2221/10/22

Keywords

  • Edge computing
  • Low-earth-orbit (LEO) satellite
  • path planning
  • scheduling
  • unmanned aerial vehicle (UAV)

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