Multi-Resolution Mixer Network for Localization of Multiple Sensors from Cumulative Power Measurements

---

@inproceedings{murad2025multi,
  title={Multi-Resolution Mixer Network for Localization of Multiple Sensors from Cumulative Power Measurements},
  author={Murad, Md Mahmuddun Nabi and Yirenya-Tawiah, Daniel Kwabena and Weller, Thomas and Yilmaz, Yasin},
  booktitle={2025 IEEE Wireless Communications and Networking Conference (WCNC)},
  pages={1--6},
  year={2025},
  organization={IEEE}
}

Get started

Follow these steps to get started with our proposed model:

1. Install Requirements

Install Python 3.10 and the necessary dependencies.

pip install -r requirements.txt

2. Generating the datasets:

To generate the train, validation, and test datasets run the following script:

	bash ./scripts/dataGeneration/generate_datasets.sh

Running the abovementioned command will generate datasets in the subfolders of ./outputs/ folder. Copy the datasets from the subfolders and paste them inside the folders ./data/sensor/train/, ./data/sensor/test/, and ./data/sensor/vali/.

3. Training and Evaluating the model:

To reproduce the results of the mixer model, use the following commands:

bash ./scripts/Mixer/mixer_test-1.sh
bash ./scripts/Mixer/mixer_test-2.sh
bash ./scripts/Mixer/mixer_test-3.sh
bash ./scripts/Mixer/mixer_test-4.sh

These commands will generate the results of the corresponding test datasets. The results will be found inside the ./logs/BridgeModel/ folder.