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Implementation of the BLE neighbor discovery framework in paper "Blender: Toward Practical Simulation Framework for BLE Neighbor Discovery (MSWiM'22)"

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About

This repository contains the source code of Blender. Blender is a practical simulation framework for Bluetooth Low Energy (BLE) neighbor discovery. A demo application of Blender-as-a-service can be find at AlgoSpace.

Please cite the papers as follows (or use this bibtex record).

Directory Structure

algo

This contains the algorithm(s) utilized for accelerating Blender's simulation process.

simulator

The implementation of different simulation workflows are listed here, where the specific characteristics of each are embeded in the comments.

utils

This contains some debugging and analyzing tools.

Setup

Python-Based Simulator

The python implementation is written under python3.8 with numpy 1.20.1.

Workflow

A sample usage of the simulator is presented in playground.py.

The input parameters are explained as follows:

  • adv_interval: The broadcaster's broadcast interval, an integer ranges from 20 to 10240 ms.
  • scan_interval: The scanner's scan interval, an integer ranges from 20 to 10240 ms.
  • scan_window: The scanner's scan window, an integer ranges from 20 to 10240 ms. scan_window must not exceed scan_interval.
  • end_time: The upper bound of running time for each simulation case, an integer ranges from 1000 to 60000 ms. This speeds up the simulation when an extra large discovery latency occurs.
  • loss_rate: The loss ratio of a beacon message, an integer ranges from 0 to 99. For example, 20 refers to loss_rate=20%.

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Implementation of the BLE neighbor discovery framework in paper "Blender: Toward Practical Simulation Framework for BLE Neighbor Discovery (MSWiM'22)"

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