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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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Autores principales: Kamali, Masoud, Malek, Mohammad Reza, Saeedi, Sara, Liang, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347879/
https://www.ncbi.nlm.nih.gov/pubmed/34372384
http://dx.doi.org/10.3390/s21155146
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author Kamali, Masoud
Malek, Mohammad Reza
Saeedi, Sara
Liang, Steve
author_facet Kamali, Masoud
Malek, Mohammad Reza
Saeedi, Sara
Liang, Steve
author_sort Kamali, Masoud
collection PubMed
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 pubmed-83478792021-08-08 A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution Kamali, Masoud Malek, Mohammad Reza Saeedi, Sara Liang, Steve Sensors (Basel) Article 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. MDPI 2021-07-29 /pmc/articles/PMC8347879/ /pubmed/34372384 http://dx.doi.org/10.3390/s21155146 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kamali, Masoud
Malek, Mohammad Reza
Saeedi, Sara
Liang, Steve
A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347879/
https://www.ncbi.nlm.nih.gov/pubmed/34372384
http://dx.doi.org/10.3390/s21155146
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