Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City

In a smart city, Mobile Edge Computing (MEC) are generally deployed in static fashion in base stations (BSs). While moving vehicles with advanced on-board equipment can be regarded as dynamic computing resource transporters ignoring geographical limitations. Thus Internet of Vehicle (IoV) could assi...

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Vydáno v:IEEE transactions on emerging topics in computing Ročník 9; číslo 3; s. 1373 - 1385
Hlavní autoři: Lin, Xi, Wu, Jun, Mumtaz, Shahid, Garg, Sahil, Li, Jianhua, Guizani, Mohsen
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Blockchain
Consortium blockchain
Cryptography
Edge computing
Game theory
Idling
Intelligent vehicles
Internet of Vehicles
Load management
Mobile computing
mobile edge computing
Onboard equipment
Optimization
Quality of service
Radio equipment
Security
Smart cities
smart city
Task analysis
Trusted third parties
Utilities
Vehicles
ISSN:2168-6750, 2168-6750
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Popis
Shrnutí:In a smart city, Mobile Edge Computing (MEC) are generally deployed in static fashion in base stations (BSs). While moving vehicles with advanced on-board equipment can be regarded as dynamic computing resource transporters ignoring geographical limitations. Thus Internet of Vehicle (IoV) could assist the smart city to achieve flexible computing resource demand response (DR) via paid sharing the idle vehicle computing resources. Motivated by this, we propose a Peer-to-Peer (P2P) computing resource trading system to balance computing resource spatio-temporal dynamic demands in IoV-assisted smart city. On one hand, to guarantee transaction security and privacy-preserving in our system, we employ a consortium blockchain approach and demonstrate the process of secure computing resource trading without involving a centralized trusted third-party. On the other hand, to encourage individual smart vehicles to participate in our system, we construct a two-stage Stackelberg game jointly optimizing the utilities of buyers and sellers. And we also derive the optimal computing pricing and trading amount strategies in this proposed game. Finally, security analysis shows the security performance of our system and numerical simulations show that our strategies can encourage the collaboration between the buyer and smart vehicles.
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ISSN:2168-6750
2168-6750
DOI:10.1109/TETC.2020.2971831