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dc.contributor.advisor 곽정호 -
dc.contributor.author Hewon cho -
dc.date.accessioned 2023-09-18T21:00:49Z -
dc.date.available 2023-09-18T21:00:49Z -
dc.date.issued 2023 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46409 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000687729 -
dc.description 차량 네트워크; 엣지 컴퓨팅; 최적화 문제; 차량 센서 네트워크; 센싱 결정 기법; 강화 학습; 정보의 최신성; Vehicular networks; convex optimization; edge computing; resource allocation; sensing decision -
dc.description.tableofcontents I. INTRODUCTION 1
1.1 Outline and Contributions 3
1.1.1 Chapter 2 3
1.1.2 Chapter 3 3
1.1.3 Chapter 4 4
II. Task Offloading for Edge Computing-enabled Vehicular Networks 6
2.1 Contribution of This Chapter 6
2.2 Notations 7
2.3 System Model 7
2.3.1 Network Model 7
2.3.2 Cooperative Offloading Model 8
2.4 Total Energy Minimization 15
2.4.1 Problem Formulation 15
2.4.2 Optimal Solution in Multi-Vehicle Case 17
2.4.3 Optimal Solution in Single-Vehicle Case 19
2.5 Extension to Online Scenario 24
2.5.1 Network Model and Cooperative Offloading Models in Online Scenario 25
2.5.2 Online Optimization 25
2.6 Numerical Results 27
2.6.1 Single-Vehicle Case 28
2.6.2 Multi-Vehicle Case 29
2.7 Conclusion 35
III. Sensing Decision for Edge Computing-enabled Vehicular Sensor Networks 36
3.1 Contribution of This Chapter 36
3.2 System Model 36
3.2.1 Network Model 36
3.2.2 Vehicular Sensing Model 37
3.2.3 Performance metric 40
3.3 reinforcement learning (RL)-Based Sensing Decision Algorithm 41
3.3.1 Markov decision process (MDP) Formulation 41
3.3.2 Proposed Network Architecture 43
3.4 Simulation Results 43
3.5 Conclusion 45
IV. Conclusions 46
References 47
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dc.format.extent 54 -
dc.language eng -
dc.publisher DGIST -
dc.title Energy-efficient Task Offloading and Sensing Decision for Edge Computing-enabled Vehicular Networks -
dc.title.alternative 엣지 컴퓨팅 기반 차량 네트워크에서의 에너지 효율적인 오프로딩 및 센싱 결정 기법 -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200000687729 -
dc.description.degree Doctor -
dc.contributor.department Department of Electrical Engineering and Computer Science -
dc.contributor.coadvisor Jemin Lee -
dc.date.awarded 2023-08-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.ID 조94 202308 -
dc.date.accepted 2023-09-14 -
dc.contributor.alternativeDepartment 전기전자컴퓨터공학과 -
dc.subject.keyword 차량 네트워크 -
dc.subject.keyword 엣지 컴퓨팅 -
dc.subject.keyword 최적화 문제 -
dc.subject.keyword 차량 센서 네트워크 -
dc.subject.keyword 센싱 결정 기법 -
dc.subject.keyword 강화 학습 -
dc.subject.keyword 정보의 최신성 -
dc.subject.keyword Vehicular networks -
dc.subject.keyword convex optimization -
dc.subject.keyword edge computing -
dc.subject.keyword resource allocation -
dc.subject.keyword sensing decision -
dc.contributor.affiliatedAuthor Hewon cho -
dc.contributor.affiliatedAuthor Jeongho Kwak -
dc.contributor.affiliatedAuthor Jemin Lee -
dc.contributor.alternativeName 조혜원 -
dc.contributor.alternativeName Jeongho Kwak -
dc.contributor.alternativeName 이제민 -
dc.rights.embargoReleaseDate 2028-08-31 -
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