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Department of Electrical Engineering and Computer Science
Theses
Master
Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Wireless Monitoring Networks
Minsu Kim
Department of Electrical Engineering and Computer Science
Theses
Master
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WEB OF SCIENCE
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Title
Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Wireless Monitoring Networks
Alternative Title
하이퍼레저 페브릭을 활용한 모니터링 네트워크에서 정보의 최신성 분석
DGIST Authors
Minsu Kim
;
Jemin Lee
;
Jeonghun Park
Advisor
이제민
Co-Advisor(s)
Jeonghun Park
Issued Date
2021
Awarded Date
2021/02
Citation
Minsu Kim. (2021). Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Wireless Monitoring Networks. doi: 10.22677/thesis.200000363627
Type
Thesis
Subject
정보의 최신성, 블록체인, 하이퍼레저 패브릭, 지연 시간, stochastic geometry
Abstract
Age of Information (AoI) is a recently proposed metric for quantifying data freshness in real-time status
Table Of Contents
I. INTRODUCTION 1
1.1 Backgrounds 1
1.2 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
II. Hyperledger Fabric 5
2.1 Hyperledger Fabric (HLF) Transaction Flow . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.1 Endorsing Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.2 Ordering Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.3 Validation Phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 HLF Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2.1 Block Size, Bˆ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2.2 Timeout, Tˆ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
III.HLF Blockchain-Enabled Monitoring Network 8
3.0.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.0.2 Consensus Latency Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.0.3 Analysis of Transmission Latency . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
IV. AoI Analysis of HeMN 13
V. Numerical Results 23
5.0.1 KS Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
5.0.2 Validation of Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
5.0.3 Impact of Hyperledger Fabric Blockchain-enabled monitoring network (HeMN) Parameters . . . . . . . . . 28
VI. CONCLUSIONS 32
References 33
URI
http://dgist.dcollection.net/common/orgView/200000363627
http://hdl.handle.net/20.500.11750/16680
DOI
10.22677/thesis.200000363627
Degree
Master
Department
Information and Communication Engineering
Publisher
DGIST
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200000363627.pdf
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