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International audience; Internet of Things (IoT) is a network where several and various interconnected, smart objects continuously generate alarge amount of data transmitted over Internet. Several efforts and research works in IoT focused on hardware constraints, lowcost, application design, as well as good communication technologies. However, due to the intrinsic characteristics of diversity,heterogeneity, large-scale, dynamic and large volume of data generated and various IoT applications needs, using traditionaldatabase management mechanisms and analytics architectures is not generally suitable. Then, it is challenging to provideefficient IoT data storage and query processing mechanisms for satisfying IoT application needs. This paper identifies the mainspecifications and mechanisms of data and query management for IoT and classifies them. Moreover, this work presentsadvances on data and query management mechanisms on IoT, shows their advantages and limits and discusses the challengingopen research issues that need to be addressed for providing guidelines for further contributions.

Small, generally low-cost sensors, that are deployed in unsupervised networks (or remote locations such as the ocean) are becoming more and more important across RIs and across domain. Distributed infrastructures require efficient data transmission through a more strict effort on standards for sensor registration, sensor web enablement, sensor-embedded treatment capacities. Network-enabled sensors offer a strong potential. This deliverable will present ongoing initiatives and proves the maturity and security of the smart sensor techniques applied at large scale.