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dc.contributor.authorYin, B
dc.contributor.authorWu, Y
dc.contributor.authorHu, T
dc.contributor.authorDong, J
dc.contributor.authorJiang, Z
dc.date.accessioned2019-11-05T15:48:38Z
dc.date.issued2019-10-24
dc.description.abstractWith the rapid development of Internet-of-Things (IoT), mobile crowdsensing, i.e., outsourcing sensing tasks to mobile devices or vehicles, has been proposed to address the problem of data collection in the scenarios such as smart city. Despite its benefits for a wide range of applications, mobile crowdsensing lacks an efficient incentive mechanism, restricting the development of IoT applications, especially for Internet-ofVehicles (IoV) – a typical example of IoT applications; this is because vehicles are usually reluctant to participate these sensing tasks. Moreover, in practice some sensing tasks may arrive suddenly (called an emergent task) in the IoV environment, but the resources of a single vehicle may be insufficient to handle, and thus multi-vehicles collaboration is required. In this case, the incentive mechanisms for the participation of multiple vehicles and the task scheduling for their collaborations are collectively needed. To address this important problem, we firstly propose a new model for the scenario of two vehicles collaboration, considering the situation of emergent appearance of a task. In this model, for a general sensing task, we propose a bidding mechanism to better encourage vehicles to contribute their resources, and the tasks for those vehicles are scheduled accordingly. Secondly, for an emergent task, a novel time-window based method is devised to manage the tasks among vehicles and to incent the vehicles to participate. Finally, we develop a blockchain framework to achieve the secured information exchange through smart contract for the proposed models in IoV.en_GB
dc.description.sponsorshipNational Key Research and Development Program of Chinaen_GB
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC)en_GB
dc.description.sponsorshipPurple Mountain Laboratory: Networking, Communications and Securityen_GB
dc.description.sponsorshipAcademician Expert Workstation of Bitvalue Technology (Hunan) Company Limiteden_GB
dc.identifier.citationPublished online 24 October 2019en_GB
dc.identifier.doi10.1109/JIOT.2019.2949088
dc.identifier.grantnumber2016YFB1000102en_GB
dc.identifier.grantnumber61972222en_GB
dc.identifier.grantnumber61672318en_GB
dc.identifier.grantnumber2017RS3064en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39531
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_GB
dc.subjectMobile crowdsensingen_GB
dc.subjectIncentive mechanismen_GB
dc.subjectInternet of Thingsen_GB
dc.subjectInternet of Vehiclesen_GB
dc.subjectBlockchainen_GB
dc.titleAn Efficient Collaboration and Incentive Mechanism for Internet-of-Vehicles (IoVs) with Secured Information Exchange Based on Blockchainsen_GB
dc.typeArticleen_GB
dc.date.available2019-11-05T15:48:38Z
dc.identifier.issn2327-4662
dc.descriptionThis is the author accepted manuscript. The final version is available from IEEE via the DOI in this recorden_GB
dc.identifier.journalIEEE Internet of Thingsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-10-10
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-10-10
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-11-05T14:02:15Z
refterms.versionFCDAM
refterms.dateFOA2019-11-15T10:58:49Z
refterms.panelBen_GB


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