Abstract
Crowdsensing is an emerging paradigm of data aggregation, which has a pivotal role in data-driven applications. By leveraging the recruitment, a crowdsensing system collects a large amount of data from mobile devices at a low cost. The critical issues in the development of crowdsensing are platform security, privacy protection, and incentive. However, the existing centralized, platform-based approaches suffer from the single point of failure which may result in data leakage. Besides, few previous studies have addressed the considerations of both the economic incentive and data quality. In this paper, we propose a decentralized crowdsensing architecture based on blockchain technology which will help improve the attack resistance. Furthermore, we present a hybrid incentive mechanism, which integrates the data quality, reputation, and monetary factors to encourage participants to contribute their sensing data while discouraging malicious behaviors. The effectiveness our of proposed incentive model is verified through a combination of the theory of mechanism design. The performance analysis and simulation results illustrate that the proposed hybrid incentive model is a reliable and efficient mean to promote data security and incentivizing positive conduct on the crowdsensing application.
Highlights
As an emerging paradigm, crowdsensing plays a vital role in data aggregation [1]
We propose a consortium blockchain-based architecture for crowdsensing, which combines the blockchain and smart contracts to solve the problems of typical crowdsensing systems
We propose a consortium blockchain-based incentive model for the crowdsensing system
Summary
As an emerging paradigm, crowdsensing plays a vital role in data aggregation [1]. Crowdsensing gathers large amounts of sensing data by utilizing the individual intelligent sensing devices, which effectively reduces the cost and improves the efficiency of data collection [2,3]. With the proliferation of intelligent sensing devices such as cameras, accelerometers, GPSs, etc., and the ongoing expansion of mobile network capabilities, crowdsensing could contribute significantly to the development of the Internet of Things (IoT). This could see crowdsensing applied to transportation [4,5], smart city [6], water-quality monitoring [7], pollution measurement [8,9], human location [10], etc. The typical crowdsensing system is mostly managed and maintained by a centralized platform.
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