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Comparison of the CUPUS middleware and MQTT protocol for smart city services.

, , , and . ConTEL, page 1-8. IEEE, (2015)

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A high throughput processing engine for taxi-generated data streams., , , , , and . DEBS, page 309-315. ACM, (2015)Energy efficient and quality-driven continuous sensor management for mobile IoT applications., , , , and . CollaborateCom, page 397-406. ICST / IEEE, (2014)Comparison of the CUPUS middleware and MQTT protocol for smart city services., , , and . ConTEL, page 1-8. IEEE, (2015)Energy-aware and quality-driven sensor management for green mobile crowd sensing., , , , and . J. Netw. Comput. Appl., (2016)A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the Internet of Things., , , and . Future Gener. Comput. Syst., (2016)Autonomous Data Acquisition in the Hierarchical Edge-Based MCS Ecosystem., , and . FiCloud Workshops, page 34-41. IEEE Computer Society, (2018)The OpenIoT Approach to Sensor Mobility with Quality-Driven Data Acquisition Management., , , , and . OpenIoT@SoftCOM, volume 9001 of Lecture Notes in Computer Science, page 46-61. Springer, (2014)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)Approaches to Fuse Fixed and Mobile Air Quality Sensors., , and . ISESS, volume 507 of IFIP Advances in Information and Communication Technology, page 71-84. Springer, (2017)