Ruiyun Yu , Ann Move Oguti , Mohammad S. Obaidat , Shuchen Li , Pengfei Wang , Kuei-Fang Hsiao
{"title":"Blockchain-based solutions for mobile crowdsensing: A comprehensive survey","authors":"Ruiyun Yu , Ann Move Oguti , Mohammad S. Obaidat , Shuchen Li , Pengfei Wang , Kuei-Fang Hsiao","doi":"10.1016/j.cosrev.2023.100589","DOIUrl":null,"url":null,"abstract":"<div><p>Mobile crowdsensing (MCS) is an emerging data-driven paradigm that leverages the collective intelligence<span> of the crowd, their mobility, and the crowd-companioned smart mobile devices<span><span> embedded with powerful sensors to acquire information from the physical environment for crowd intelligence extraction and human-centric service delivery. However, existing MCS systems operate in a centralized manner, giving rise to several challenges, including privacy, security, incentives, and dependence on a central service provider. Blockchain<span> is a novel application paradigm that incorporates point-to-point transmission, consensus mechanisms, cryptography, intelligent contracts, </span></span>distributed data storage<span><span>, and other computing technologies, creating a shift from the current centralized paradigm to a decentralized paradigm. Nonetheless, the convergence of MCS and blockchains necessitates addressing numerous fundamental challenges arising from their merger. This paper examines the major issues facing MCS systems and blockchain’s potential role in addressing them. We present the MCS-blockchain integrated deployment strategies, </span>architectural designs, and core blockchain technology principles that contribute significantly to the performance of blockchain-based MCS applications. Additionally, the advancement of blockchain technology and its impact on MCS system security and performance requirements are investigated. Finally, we highlight current research gaps and future research opportunities that may inspire the deployment of novel blockchain-based MCS systems.</span></span></span></p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":null,"pages":null},"PeriodicalIF":13.3000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science Review","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574013723000564","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile crowdsensing (MCS) is an emerging data-driven paradigm that leverages the collective intelligence of the crowd, their mobility, and the crowd-companioned smart mobile devices embedded with powerful sensors to acquire information from the physical environment for crowd intelligence extraction and human-centric service delivery. However, existing MCS systems operate in a centralized manner, giving rise to several challenges, including privacy, security, incentives, and dependence on a central service provider. Blockchain is a novel application paradigm that incorporates point-to-point transmission, consensus mechanisms, cryptography, intelligent contracts, distributed data storage, and other computing technologies, creating a shift from the current centralized paradigm to a decentralized paradigm. Nonetheless, the convergence of MCS and blockchains necessitates addressing numerous fundamental challenges arising from their merger. This paper examines the major issues facing MCS systems and blockchain’s potential role in addressing them. We present the MCS-blockchain integrated deployment strategies, architectural designs, and core blockchain technology principles that contribute significantly to the performance of blockchain-based MCS applications. Additionally, the advancement of blockchain technology and its impact on MCS system security and performance requirements are investigated. Finally, we highlight current research gaps and future research opportunities that may inspire the deployment of novel blockchain-based MCS systems.
期刊介绍:
Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.