dc.contributor.author | Yin, B | |
dc.contributor.author | Wu, Y | |
dc.contributor.author | Hu, T | |
dc.contributor.author | Dong, J | |
dc.contributor.author | Jiang, Z | |
dc.date.accessioned | 2019-11-05T15:48:38Z | |
dc.date.issued | 2019-10-24 | |
dc.description.abstract | With 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.sponsorship | National Key Research and Development Program of China | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China (NSFC) | en_GB |
dc.description.sponsorship | Purple Mountain Laboratory: Networking, Communications and Security | en_GB |
dc.description.sponsorship | Academician Expert Workstation of Bitvalue Technology (Hunan) Company Limited | en_GB |
dc.identifier.citation | Published online 24 October 2019 | en_GB |
dc.identifier.doi | 10.1109/JIOT.2019.2949088 | |
dc.identifier.grantnumber | 2016YFB1000102 | en_GB |
dc.identifier.grantnumber | 61972222 | en_GB |
dc.identifier.grantnumber | 61672318 | en_GB |
dc.identifier.grantnumber | 2017RS3064 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/39531 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.subject | Mobile crowdsensing | en_GB |
dc.subject | Incentive mechanism | en_GB |
dc.subject | Internet of Things | en_GB |
dc.subject | Internet of Vehicles | en_GB |
dc.subject | Blockchain | en_GB |
dc.title | An Efficient Collaboration and Incentive Mechanism for Internet-of-Vehicles (IoVs) with Secured Information Exchange Based on Blockchains | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-11-05T15:48:38Z | |
dc.identifier.issn | 2327-4662 | |
dc.description | This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record | en_GB |
dc.identifier.journal | IEEE Internet of Things | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2019-10-10 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2019-10-10 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-11-05T14:02:15Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-11-15T10:58:49Z | |
refterms.panel | B | en_GB |