Research Repository

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

Hu, Jiejun and Yang, Kun and Wang, Kezhi and Zhang, Kai (2020) 'A Blockchain-Based Reward Mechanism for Mobile Crowdsensing.' IEEE Transactions on Computational Social Systems, 7 (1). pp. 178-191. ISSN 2329-924X

FINAL VERSION.pdf - Accepted Version

Download (1MB) | Preview


Mobile crowdsensing (MCS) is a novel sensing scenario of cyber-physical-social systems. MCS has been widely adopted in smart cities, personal health care, and environment monitor areas. MCS applications recruit participants to obtain sensory data from the target area by allocating reward to them. Reward mechanisms are crucial in stimulating participants to join and provide sensory data. However, while the MCS applications execute the reward mechanisms, sensory data and personal private information can be in great danger because of malicious task initiators/participants and hackers. This article proposes a novel blockchain-based MCS framework that preserves privacy and secures both the sensing process and the incentive mechanism by leveraging the emergent blockchain technology. Moreover, to provide a fair incentive mechanism, this article has considered an MCS scenario as a sensory data market, where the market separates the participants into two categories: monthly-pay participants and instant-pay participants. By analyzing two different kinds of participants and the task initiator, this article proposes an incentive mechanism aided by a three-stage Stackelberg game. Through theoretical analysis and simulation, the evaluation addresses two aspects: the reward mechanism and the performance of the blockchain-based MCS. The proposed reward mechanism achieves up to a 10% improvement of the task initiator's utility compared with a traditional Stackelberg game. It can also maintain the required market share for monthly-pay participants while achieving sustainable sensory data provision. The evaluation of the blockchain-based MCS shows that the latency increases in a tolerable manner as the number of participants grows. Finally, this article discusses the future challenges of blockchain-based MCS.

Item Type: Article
Uncontrolled Keywords: Blockchain; mobile crowdsensing (MCS); reward mechanism; sensory data market; Stackelberg game
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 May 2020 14:13
Last Modified: 15 Jan 2022 01:32

Actions (login required)

View Item View Item