QoS-Aware Computation Offloading in LEO Satellite Edge Computing for IoT:A Game-Theoretical Approach

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外文摘要：Low earth orbit(LEO)satellite edge computing can overcome communication difficulties in harsh environments,which lack the support of terrestrial communication infrastructure.It is an indispensable option for achieving worldwide wireless communication coverage in the future.To improve the quality-of-service(QoS)for Internet-of-things(IoT)devices,we combine LEO satellite edge computing and ground communication systems to provide network services for IoT devices in harsh environments.We study the QoS-aware computation offloading(QCO)problem for IoT devices in LEO satellite edge computing.Then we investigate the computation offloading strategy for IoT devices that can minimize the total QoS cost of all devices while satisfying multiple constraints,such as the computing resource constraint,delay constraint,and energy consumption constraint.We formulate the QoS-aware computation offloading problem as a game model named QCO game based on the non-cooperative competi-tion game among IoT devices.We analyze the finite improvement property of the QCO game and prove that there is a Nash equilibrium for the QCO game.We propose a distributed QoS-aware computation offloading(DQCO)algo-rithm for the QCO game.Experimental results show that the DQCO algorithm can effectively reduce the total QoS cost of IoT devices.

外文关键词：

Q uality-of-serviceComputation offloadingLow earth orbit satellite edge computingInternet-of-thingsGame theory

作者：

Ying CHEN、Jintao HU、Jie ZHAO、Geyong MIN

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作者单位：

School of Computer Science,Beijing Information Science and Technology University,Beijing 100101,China

University of Exeter,Exeter EX4 4QF,UK

基金：

Project of Cultivation for Young Topmotch Talents of Beijing Municipal InstitutionsYoung Elite Scientists Sponsorship Program by BASTNational Key Research and Development Program of China

项目编号：

BPHR202203225BYESS20230312022YFF0604502

出版年：

2024

DOI：

10.23919/cje.2022.00.412

电子学报(英文)

CSTPCDEI

ISSN：1022-4653

年,卷(期)：2024.33(4)

被引量2
参考文献量4