Abstract
The smart business processes modeling SBPM in a new technology used an Internet of Things IoT in the big companies. The IoT contribute by the owners of these keys such as a sensor and both physical and virtual Universe and smart camera etc. This IoT technology’s coin mechanism provides an optimal routing from the device to the device. However, this smart technology cannot detect the data flow anomalies when modeling. Indeed, the sensorial of IoT define the spread of smart detection features that resolve the issues of data flow. The aim of this chapter is to control data flow modeling in SBPM when the IoT concept release and forwards the data in a meshed network at routing of data from activity to the activity. The main reason for using IoT is to implement smart keys in an active help method and an ad hoc mesh network. However this method need a database storage concept to serve the method by recording the data and their read, write/destroy state at modeling data during routing. This database is also used to clean up data when it is detected by active sensors and the smart camera. The approach has a goal to find data flow anomalies as missing data, redundant data applying a computation method of the average speed during a prescribed distance. This average speed is compared to the threshold of speed at a given time instances when the intelligent business process modeling (SBPM) applying an IoT.
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Chadli, N., Elhoseny, M., Kabbaj, M.I., Bakkoury, Z. (2022). Smart Business Process Modeling: Toward an IoT to Detect the Data Flow Anomalies in Ad Hoc Mesh Network. In: Elhoseny, M., Yuan, X., Krit, Sd. (eds) Distributed Sensing and Intelligent Systems. Studies in Distributed Intelligence . Springer, Cham. https://doi.org/10.1007/978-3-030-64258-7_2
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