Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services

Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services

A new two-level composition model for crowdsourced Sensor-Cloud services is proposed 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. Two new QoS-aware spatio-temporal composition algorithms is proposed to select the optimal composition plan.

Advantages

  • Devise the best public transport travel plan

Architecture diagram

 

 

 

 

 

 

 

Implementation of crowdsourced sensor data

httpv://www.youtube.com/watch?v=vg7w4gR_6q8

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