Simulate the statistical modeling of WLAN interference on Bluetooth® low energy (BLE) network using the Communications Toolbox™ Library for the Bluetooth Protocol. Coexistence mechanisms are used to minimize the interference of WLAN on BLE network. In this example, the collision probability of each WLAN network is used to corrupt the BLE signals. The simulation results generated in this example conclude that for high collision probability of a WLAN channel, the achieved success rate of the respective BLE channel is low.

Simulate Bluetooth® low energy (BLE) coexistence with WLAN interference using the Communications Toolbox™ Library for the Bluetooth Protocol and the WLAN Toolbox™. Coexistence mechanisms are used to minimize the interference of WLAN on BLE network. In this example, the collision probability and interference level of each WLAN network is used to corrupt the BLE signals. The simulation results generated in this example conclude that for high collision probability and interference level of a WLAN channel, the achieved success rate of the respective BLE channel is low.

The modeling of Bluetooth® Low Energy devices with Heart Rate Profile using the Communications Toolbox™ Library for the Bluetooth® Protocol.

Demonstrates network layer flooding in a Bluetooth mesh network using the Communications Toolbox™ Library for the Bluetooth® Protocol. Flooding is a mechanism in which every incoming packet is sent through every outgoing link except the one it arrived on. The flooding mechanism is studied by identifying a path between source and destination nodes through intermediate relay nodes. This example also shows how to perform Monte Carlo simulations on the Bluetooth mesh network to obtain numerical results averaged over multiple iterations.

Energy profiling in a Bluetooth mesh network using the Communications Toolbox™ Library for the Bluetooth® Protocol. One of the fundamental features of a Bluetooth mesh is its suitability for the low power and energy-constrained nodes. This example models the energy profiling of Low Power, battery operated Bluetooth mesh nodes that implement an energy saving feature called Friendship. Energy is computed based on the time profiled at various states (transmission, listen, sleep and idle) of each node in the mesh network. The derived results show that the Low Power nodes always consume less energy by spending more time in sleep state, thus resulting in energy conservation and increased lifetime.

Models a multi-node Bluetooth mesh network discrete event simulation (DES) by using the Communications Toolbox™ Library for the Bluetooth® Protocol. DES is the process of simulating the behavior of a system as an ordered and discrete sequence of well-defined events occurring in the time domain. DES allows you to model events in a system that occur in microsecond granularity. Moreover, DES also results in low simulation time thus making it viable to support large-scale system-level simulations. The multi-node mesh network simulated in this example models the complete Bluetooth mesh stack over the advertising bearer. The example aims to accurately model the asynchronous transmissions by using DES. The simulation results include packet delivery ratio (PDR), node-related statistics, and a plot displaying the visual representation of the mesh network.