Spatio-temporal composition of crowdsourced services

propose a new composition approach for crowdsourced services based on dynamic features such as spatio-temporal aspects. The proposed approach is defined based on a formal crowdsourced service model that abstracts the functionality of crowdsourced data on the cloud in terms of spatio-temporal features. We present a new QoS-aware spatiotemporal union composition algorithm to efficiently select the optimal crowdsourced composition plan. Experimental results validate the performance of the proposed algorithm.