A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

Due to the increasing relevance of spatial information in different aspects of location-based services, various methods are used to collect this information. The use of crowdsourcing due to plurality and distribution is a remarkable strategy for collecting information, especially spatial information...

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Main Authors: Masoud Kamali, Mohammad Reza Malek, Sara Saeedi, Steve Liang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/15/5146
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author Masoud Kamali
Mohammad Reza Malek
Sara Saeedi
Steve Liang
author_facet Masoud Kamali
Mohammad Reza Malek
Sara Saeedi
Steve Liang
author_sort Masoud Kamali
collection DOAJ
description Due to the increasing relevance of spatial information in different aspects of location-based services, various methods are used to collect this information. The use of crowdsourcing due to plurality and distribution is a remarkable strategy for collecting information, especially spatial information. Crowdsourcing can have a substantial effect on increasing the accuracy of data. However, many centralized crowdsourcing systems lack security and transparency due to a trusted party’s existence. With the emergence of blockchain technology, there has been an increase in security, transparency, and traceability in spatial crowdsourcing systems. In this paper, we propose a blockchain-based spatial crowdsourcing system in which workers confirm or reject the accuracy of tasks. Tasks are reports submitted by requesters to the system; a report comprises type and location. To our best knowledge, the proposed system is the first system that all participants receive rewards. This system considers spatial and non-spatial reward factors to encourage users’ participation in collecting accurate spatial information. Privacy preservation and security of spatial information are considered in the system. We also evaluated the system efficiency. According to the experiment results, using the proposed system, information accuracy increased by 40%, and the minimum time for reviewing reports by facilities reduced by 30%. Moreover, we compared the proposed system with the current centralized and distributed crowdsourcing systems. This comparison shows that, although our proposed system omits the user’s history to preserve privacy, it considers a consensus-based approach to guarantee submitted reports’ accuracy. The proposed system also has a reward mechanism to encourage more participation.
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spelling doaj.art-29f84b9578a04dd9bcb4f20a45706b802023-12-03T13:18:21ZengMDPI AGSensors1424-82202021-07-012115514610.3390/s21155146A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward DistributionMasoud Kamali0Mohammad Reza Malek1Sara Saeedi2Steve Liang3Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranDepartment of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDue to the increasing relevance of spatial information in different aspects of location-based services, various methods are used to collect this information. The use of crowdsourcing due to plurality and distribution is a remarkable strategy for collecting information, especially spatial information. Crowdsourcing can have a substantial effect on increasing the accuracy of data. However, many centralized crowdsourcing systems lack security and transparency due to a trusted party’s existence. With the emergence of blockchain technology, there has been an increase in security, transparency, and traceability in spatial crowdsourcing systems. In this paper, we propose a blockchain-based spatial crowdsourcing system in which workers confirm or reject the accuracy of tasks. Tasks are reports submitted by requesters to the system; a report comprises type and location. To our best knowledge, the proposed system is the first system that all participants receive rewards. This system considers spatial and non-spatial reward factors to encourage users’ participation in collecting accurate spatial information. Privacy preservation and security of spatial information are considered in the system. We also evaluated the system efficiency. According to the experiment results, using the proposed system, information accuracy increased by 40%, and the minimum time for reviewing reports by facilities reduced by 30%. Moreover, we compared the proposed system with the current centralized and distributed crowdsourcing systems. This comparison shows that, although our proposed system omits the user’s history to preserve privacy, it considers a consensus-based approach to guarantee submitted reports’ accuracy. The proposed system also has a reward mechanism to encourage more participation.https://www.mdpi.com/1424-8220/21/15/5146blockchainlocation-based servicescrowdsourcingreward algorithm
spellingShingle Masoud Kamali
Mohammad Reza Malek
Sara Saeedi
Steve Liang
A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
Sensors
blockchain
location-based services
crowdsourcing
reward algorithm
title A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
title_full A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
title_fullStr A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
title_full_unstemmed A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
title_short A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
title_sort blockchain based spatial crowdsourcing system for spatial information collection using a reward distribution
topic blockchain
location-based services
crowdsourcing
reward algorithm
url https://www.mdpi.com/1424-8220/21/15/5146
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