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Crowdsourced coverage as a service: two-level composition of Sensor Cloud services
journal contribution
posted on 2017-07-01, 00:00 authored by Azadeh Ghari NeiatAzadeh Ghari Neiat, Athman Bouguettaya, Timos Sellis, Sajib MistryWe present a new two-level composition model for crowdsourced Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. The proposed approach is defined based on a formal Sensor-Cloud service model that abstracts the functionality and non-functional aspects of sensor data on the cloud in terms of spatio-temporal features. A spatio-temporal indexing technique based on the 3D R-tree to enable fast identification of appropriate Sensor-Cloud services is proposed. A novel quality model is introduced that considers dynamic features of sensors to select and compose Sensor-Cloud services. The quality model defines Coverage as a Service which is formulated as a composition of crowdsourced Sensor-Cloud services. We present two new QoS-aware spatio-temporal composition algorithms to select the optimal composition plan. Experimental results validate the performance of the proposed algorithms.
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Journal
IEEE Transactions on Knowledge and Data EngineeringVolume
29Issue
7Pagination
1384 - 1397Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Piscataway, N.J.Publisher DOI
ISSN
1041-4347Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2017, IEEEUsage metrics
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