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A Mobile Crowdsensing Ecosystem Enabled by a Cloud-Based Publish/Subscribe Middleware., , , , and . FiCloud, page 107-114. IEEE Computer Society, (2014)Modeling Aggregate Input Load of Interoperable Smart City Services., , and . DEBS, page 34-43. ACM, (2017)Inferring presence status on smartphones: The big data perspective., , and . ISCC, page 600-605. IEEE Computer Society, (2013)Energy efficient and quality-driven continuous sensor management for mobile IoT applications., , , , and . CollaborateCom, page 397-406. ICST / IEEE, (2014)Publish/subscribe middleware for energy-efficient mobile crowdsensing., , and . UbiComp (Adjunct Publication), page 1099-1110. ACM, (2013)A high throughput processing engine for taxi-generated data streams., , , , , and . DEBS, page 309-315. ACM, (2015)Energy-aware and quality-driven sensor management for green mobile crowd sensing., , , , and . J. Network and Computer Applications, (2016)Real time analysis of sensor data for the Internet of Things by means of clustering and event processing., , , , , , and . ICC, page 685-691. IEEE, (2015)Comparison of the CUPUS middleware and MQTT protocol for smart city services., , , and . ConTEL, page 1-8. IEEE, (2015)Bloom Filter Approach for Autonomous Data Acquisition in the Edge-Based MCS Scenario., , and . Sensors, 22 (3): 879 (2022)