Abstract

With the popularization of intelligent terminals, especially current trends, such as “Industrie 4.0” and the Internet of Things, mobile crowdsensing is becoming one of the promising applications built on smart devices in mobile networks. However, the existing mobile crowdsensing models are mostly based on a centralized platform, which is not fully trusted in reality and results in the existence of fraud and other security problems. Furthermore, the data quality collected through crowdsensing is varied, and the location privacy is difficult to guarantee, especially at the worker selection stage. To solve these two problems, an effective blockchain-based location-privacy-preserving crowdsensing model, CrowdBLPS, is proposed in this article. First, the idea of a blockchain is introduced into this model. The decentralized structure and the consensus approach are applied to realize the nonrepudiation and nontampering of information. Second, to improve the data sensing quality and protect worker privacy, a two-stage approach, including the preregistration stage and the final selection stage, is proposed. Finally, we further implement a prototype on the Ethereum public testing network, and the experimental results show the feasibility, availability, and reliability of CrowdBLPS.

Highlights

  • W ITH the rapid popularization of wireless sensor devices, the Internet of Things (IoT) technology has further deepened our acknowledgment and understanding of the physical world

  • To tackle the above challenges while meeting the above requirements, we introduced the idea of a blockchain into mobile crowdsensing (MCS) to develop a decentralized crowdsensing system and proposed a two-stage approach to deal with the issues about data quality and location privacy preserving [11]

  • 2) Following the idea of a smart contract, we propose a twostage approach, including the preregistration stage and the final selection stage, to achieve the purpose of data quality control while meeting the requirements of location privacy preserving in the blockchain-based crowdsensing system

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Summary

Introduction

W ITH the rapid popularization of wireless sensor devices, the Internet of Things (IoT) technology has further deepened our acknowledgment and understanding of the physical world. As a more important part of the traditional IoT, the use of fixed-location sensing methods similar to a wireless sensor network has become the major approach of collecting data [1]. It is difficult for this traditional data collection method to meet the diversity of data sensing requirements in most real-world scenarios. A series of mobile terminal devices, such as smartphones and Pads, have become an indispensable part of people’s daily lives These terminal devices have certain sensing, computing, and storage capabilities, which can replace the traditional fixed IoT sensors to collect more sensing data in real-life scenarios. Based on high-performance IoT sensors embedded in mobile terminals and the collection of massive sensing data, mobile crowdsensing (MCS) [2], [3] is proposed as a novel IoT sensing paradigm

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