@ARTICLE{10.21494/ISTE.OP.2018.0215, TITLE={Towards a new generation of internet of things}, AUTHOR={Mohammed Ould kablia, Bouabdellah Kechar, Samia Bouzefrane, }, JOURNAL={Internet of Things}, VOLUME={2}, NUMBER={Issue 1}, YEAR={2018}, URL={https://openscience.fr/Towards-a-new-generation-of-internet-of-things}, DOI={10.21494/ISTE.OP.2018.0215}, ISSN={2514-8273}, ABSTRACT={Internet of Things (IoT) is the way to interconnect smart objects that are capable of collecting data via sensors and making appropriate decisions. Data collection and data processing can be either done locally at the level of these objects or outsourced on the Cloud, exploiting unlimited Cloud resources. In this context, one of the major issues is the scheduling of the data transfer between objects and/or the Cloud. This challenge is comparable to that of business process management (BPM) in companies, where data management is often carried out by Workflow processes because of their efficiency in terms of automation, optimization and scheduling. These processes are modeled using methods such as Business Process Modeling Notation (BPMN), which is based on tasks, events and gateways. The gateway is represented thanks to flow control operators such as AND, OR and XOR which are limited to the processing of several instances of data flow processes. We propose, in this paper, to adapt the BPM to the IoT process management, to improve the automation, scheduling and optimization of the data flowing between objects and/or the Cloud by providing a semantic operator called “GIOT” (Gateway for Internet Of Things) to allow intelligent data transfer in smart homes.}}