Resource allocation for edge computing-based blockchain: A game theoretic approach

Wenlong Guo, Zheng Chang, Xijuan Guo, Dushnatha Nalin K. Jayakody, Tapani Ristaniemi

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

1 Цитирования (Scopus)

Аннотация

Blockchain has been progressively applied to various Internet of Things (IoT) platforms. As the efficiency of the blockchain depends on its computing capability, how to make sure the acquisition of the computational resources and participation of the devices would be the driving force. In this work, an edge computing-based blockchain network is considered, where the edge service provider (ESP) offers computational resources for the miners. The focus is to investigate an efficient incentive mechanism for the miners to purchase the computational resources. Accordingly, a two-stage Stackelberg game is formulated between the miners and ESP. By exploring the Stackelberg equilibrium of the optimal mining strategy under two different mining schemes. The aim is to find the optimal incentive for the ESP and miners to choose auto-fit strategies. Through theoretical analysis and numerical simulation, we demonstrate the effectiveness of the proposed scheme on encouraging devices to participate the Blockchain.

Язык оригиналаАнглийский
Название основной публикации2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728174402
DOI
СостояниеОпубликовано - июн 2020
Событие2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Dublin, Ирландия
Продолжительность: 7 июн 202011 июн 2020

Серия публикаций

Название2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings

Конференция

Конференция2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020
СтранаИрландия
ГородDublin
Период7.6.2011.6.20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Control and Optimization

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