Incentive-based-Probability-Update-and-Strategy-Selection
├─ LICENSE
├─ README.md
├─ algorithm
│ ├─ IPUSS.py
│ ├─ IPUSS_ver2.py
│ ├─ __init__.py
│ ├─ random_selection.py
│ ├─ water_filling.py
│ └─ x.py
├─ config
│ ├─ __init__.py
│ ├─ config.py
│ └─ settings.py
├─ data
│ ├─ data.csv
│ ├─ fill_xy.csv
│ ├─ init.csv
│ ├─ task.csv
│ └─ xy_data.csv
├─ draw
│ ├─ __init__.py
│ ├─ draw_csv_to_map.py
│ ├─ draw_roadnetwork.py
│ └─ roadNetwork.png
├─ experiment
│ ├─ __init__.py
│ ├─ experiment_init.py
│ ├─ experiment_save_and_reload.py
│ ├─ one_slot_experiment.py
│ ├─ one_slot_experiment_ver2.py
│ ├─ one_slot_experiment_ver2_11.py
│ ├─ one_slot_experiment_ver2_12.py
│ ├─ one_slot_experiment_ver2_13.py
│ ├─ one_slot_experiment_ver2_15.py
│ ├─ one_slot_experiment_ver2_9.py
│ └─ one_slot_experiment_ver3.py
├─ experiment_data
│ ├─ .DS_Store
│ ├─ experiment_file_name.txt
│ ├─ experiment_input
│ │ ├─ Experiment_02_2020-08-31 19:51:02.pkl
│ │ ├─ Experiment_05_2020-08-31 19:32:03.pkl
│ │ ├─ Experiment_100_2020-08-30 10:19:35.pkl
│ │ ├─ Experiment_16_2020-08-31 19:28:42.pkl
│ │ ├─ Experiment_20_2020-08-31 16:27:52.pkl
│ │ ├─ Experiment_20_2020-08-31 20:18:29.pkl
│ │ ├─ Experiment_21_2020-09-02 21:32:36.pkl
│ │ ├─ Experiment_26_2020-08-31 19:23:29.pkl
│ │ ├─ Experiment_26_2020-08-31 19:45:56.pkl
│ │ ├─ Experiment_29_2020-08-31 17:09:36.pkl
│ │ ├─ Experiment_45_2020-08-29 17:18:46.pkl
│ │ ├─ Experiment_57_2020-08-30 14:01:42.pkl
│ │ ├─ Experiment_61_2020-08-31 19:19:43.pkl
│ │ ├─ Experiment_62_2020-08-30 13:44:03.pkl
│ │ ├─ Experiment_68_2020-08-30 09:53:33.pkl
│ │ ├─ Experiment_79_2020-08-31 19:39:14.pkl
│ │ ├─ Experiment_82_2020-08-31 15:11:39.pkl
│ │ ├─ Experiment_90_2020-08-31 17:40:17.pkl
│ │ ├─ Experiment_90_2020-08-31 18:52:52.pkl
│ │ └─ Experiment_94_2020-08-31 19:35:33.pkl
│ ├─ experiment_median
│ │ ├─ Experiment_06_2020-09-02 17:08:30.pkl
│ │ ├─ Experiment_51_2020-09-02 21:34:05.pkl
│ │ ├─ Experiment_70_2020-09-01 11:17:15.pkl
│ │ ├─ Experiment_72_2020-09-01 14:42:59.pkl
│ │ └─ Experiment_83_2020-09-01 02:55:24.pkl
│ ├─ experiment_median_file_name.txt
│ └─ experiment_output
│ ├─ .DS_Store
│ ├─ iteration_results_ver2.json
│ ├─ iteration_results_ver2_11.json
│ ├─ iteration_results_ver2_12.json
│ ├─ iteration_results_ver2_13.json
│ ├─ iteration_results_ver2_15.json
│ ├─ iteration_results_ver2_9.json
│ └─ iteration_results_ver3.json
├─ experiment_results
│ ├─ __init__.py
│ ├─ converage_analytics.py
│ ├─ get_compara_evaluation.py
│ ├─ get_ipus_evaluation.py
│ ├─ get_ipus_evaluation_09.py
│ ├─ get_ipus_evaluation_11.py
│ ├─ get_ipus_evaluation_12.py
│ ├─ get_ipus_evaluation_13.py
│ ├─ get_ipus_evaluation_15.py
│ ├─ get_results.py
│ ├─ one_list.csv
│ ├─ one_list2.csv
│ ├─ out.csv
│ ├─ out.xlsx
│ ├─ results_analytics.py
│ └─ strategy_evaluation.py
├─ gpsProcess
│ ├─ __init__.py
│ ├─ gps2data.py
│ └─ gps2xy.py
├─ img
│ ├─ .DS_Store
│ ├─ experiment_edge_node_setup.jpg
│ └─ map.png
├─ init_input
│ ├─ __init__.py
│ ├─ experiment_input_save_and_reload.py
│ ├─ init_distance.py
│ ├─ init_edge_node.py
│ ├─ init_task_by_time.py
│ ├─ init_vehicles.py
│ └─ read_experiment.py
└─ outputImage
└─ __init__.py
@article{xu2021potential,
language = {Chinese},
copyright = {Compilation and indexing terms, Copyright 2022 Elsevier Inc.},
copyright = {Compendex},
title = {Potential Game Based Channel Allocation for Vehicular Edge Computing},
journal = {Tien Tzu Hsueh Pao/Acta Electron. Sin.},
author = {Xu, Xincao and Liu, Kai and Liu, Chunhui and Jiang, Hao and Guo, Songtao and Wu, Weiwei},
volume = {49},
number = {5},
year = {2021},
pages = {851 - 860},
issn = {03722112},
} @article{xu2021potential,
author={许新操 and 刘凯 and 刘春晖 and 蒋豪 and 郭松涛 and 吴巍炜},
title = {基于势博弈的车载边缘计算信道分配方法},
publisher = {电子学报},
year = {2021},
journal = {电子学报},
volume = {49},
number = {5},
eid = {851},
pages = {851-860},
keywords = {车载边缘计算;信道分配;势博弈;分布式调度},
doi = https://www.ejournal.org.cn/CN/10.12263/DZXB.20200994
}