Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Yang, Zile | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11365 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | en_US |
dc.rights | All rights reserved | en_US |
dc.title | Traffic modelling of IoT-blockchain system with DPoS consensus | en_US |
dcterms.abstract | The blockchain and the Internet of Things (IoT) are both distributed computing-based systems, their common purpose of transferring and storing data makes them seem to be naturally bondable. In a general IoT system, all nodes may rely on central server, the system lacks data security and cannot prevent all data from modification. However, the blockchain system can exactly address these issues. The traditional blockchain system, like Bitcoin, has been utilizing the Proof of Work (PoW) consensus algorithm, which consumes too much computation power and electric power that most IoT devices cannot fulfill. Therefore, I apply another consensus algorithm Delegated Proof of Stake (DPoS), which consumes little resources for consensus and support much faster transaction transmission speeds than PoW. In particular, I build a typical simplified blockchain system with a modified DPoS consensus mechanism and simulate DPoS voting, transaction generation, transmission, and validation process between multiple virtual nodes under the simulated IoT environment to catch and analyze traffic. | en_US |
dcterms.extent | vii, 49 pages : color illustrations | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2020 | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.LCSH | Blockchains (Databases) | en_US |
dcterms.LCSH | Internet of things | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
Files in This Item:
File | Description | Size | Format | |
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5813.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.68 MB | Adobe PDF | View/Open |
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