Abstract
The paper describes the elements of the developed MATLAB Simulink library for building the models of Bluetooth Low Energy (BLE) wireless sensor networks to simulate the communication between BLE devices in the presence of interference and channel noise. Various parameters can be configured for the devices including their 2D positions to take into account the distances between them for calculating the attenuation coefficients of the transmitted signals. Two simulation examples are provided, one of which demonstrates the data exchange between one master device and one slave at high data packet transmission rate (2 kHz), while the other example shows the data exchange between one master and multiple slaves simultaneously, in which case the data packet transmission rate can be no larger than 133 Hz.
Highlights
Wireless communication technologies can play a significant role in the industrial environment for factory automation to increase productivity and efficiency of the manufacturing systems [1,2]
The modeling library for wireless data acquisition was developed within the aforementioned building block, which deals with robust wireless network providing reliable, synchronized and secure data delivery from sensors to the master node in an energy efficient manner
Among a number of different wireless communication technologies (Wi-Fi, ZigBee, Bluetooth, RFID, etc. [5,6]), Bluetooth Low Energy (BLE), which is optimized for low power communication [7], was selected as the most appropriate solution satisfying the majority of identified requirements
Summary
Wireless communication technologies can play a significant role in the industrial environment for factory automation to increase productivity and efficiency of the manufacturing systems [1,2]. Real-time wireless sensors is one of the building blocks of the recent large-scale I-MECH project [3,4], which is fully industry driven initiative trying to enable fast integration of diverse set of components (either electronic systems, software modules, sensors or actuators) for demanding mechatronic applications respecting model-based system engineering principles In this regard, the modeling library for wireless data acquisition was developed within the aforementioned building block, which deals with robust wireless network providing reliable, synchronized and secure data delivery from sensors to the master node (or central computing unit) in an energy efficient manner.
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