Automatic Reward System Based on Public Blockchains

Gwan Hwan Hwang*, Kun Yih Huang, Chung Chia Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We ropose a blockchain-based automatic reward mechanism. Since it is based on public blockchains, codes deployed in smart contracts are public and form a tamper-proof ledger. Rewards are recorded in a smart contract. If anyone has doubts about the reward accumulated, he/she can appeal through smart contracts without third-party mediation, and obtain indemnity in a short time. There is no need to establish and run a customer service center with human employees. Moreover, the traditional third-party trust is no longer needed because we employ public blockchains as the core of the trust. An application of rewarding photographers in a running race is used as an example to illustrate the proposed scheme. We solve problems that public blockchains are slow and their miner fees are high. The feasibility of the proposed application has been demonstrated through pilot implementation and testing.

Original languageEnglish
Title of host publicationProceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022, ECICE 2022
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-224
Number of pages6
ISBN (Electronic)9781665482080
DOIs
Publication statusPublished - 2022
Event4th IEEE Eurasia Conference on IoT, Communication and Engineering, ECICE 2022 - Yunlin, Taiwan
Duration: 2022 Oct 282022 Oct 30

Publication series

NameProceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022, ECICE 2022

Conference

Conference4th IEEE Eurasia Conference on IoT, Communication and Engineering, ECICE 2022
Country/TerritoryTaiwan
CityYunlin
Period2022/10/282022/10/30

Keywords

  • Blockchain
  • reward systenb smart contract
  • trust

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Numerical Analysis
  • Artificial Intelligence

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