Abstract_final_lib.bib

@article{RN94,
   author = {Chen, Wu and Liu, Jiajia and Guo, Hongzhi and Kato, Nei},
   title = {Toward robust and intelligent drone swarm: Challenges and future directions},
   journal = {IEEE Network},
   volume = {34},
   number = {4},
   pages = {278-283},
   ISSN = {0890-8044},
   year = {2020},
   type = {Journal Article}
}

@inproceedings{RN100,
   author = {Cooley, Rafer and Wolf, Shaya and Borowczak, Mike},
   title = {Secure and decentralized swarm behavior with autonomous agents for smart cities},
   booktitle = {2018 IEEE International Smart Cities Conference (ISC2)},
   publisher = {IEEE},
   pages = {1-8},
   ISBN = {153865959X},
   type = {Conference Proceedings}
}

@inproceedings{RN101,
   author = {Engebråten, Sondre and Glette, Kyrre and Yakimenko, Oleg},
   title = {Field-testing of high-level decentralized controllers for a multi-function drone swarm},
   booktitle = {2018 IEEE 14th International Conference on Control and Automation (ICCA)},
   publisher = {IEEE},
   pages = {379-386},
   ISBN = {153866089X},
   type = {Conference Proceedings}
}

@inproceedings{RN102,
   author = {Hu, Ting-Kuei and Gama, Fernando and Chen, Tianlong and Wang, Zhangyang and Ribeiro, Alejandro and Sadler, Brian M},
   title = {VGAI: End-to-end learning of vision-based decentralized controllers for robot swarms},
   booktitle = {ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   publisher = {IEEE},
   pages = {4900-4904},
   ISBN = {1728176050},
   type = {Conference Proceedings}
}

@article{RN98,
   author = {McEnroe, Patrick and Wang, Shen and Liyanage, Madhusanka},
   title = {A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges},
   journal = {IEEE Internet of Things Journal},
   ISSN = {2327-4662},
   year = {2022},
   type = {Journal Article}
}

@article{RN97,
   author = {Qamar, Suleman and Khan, Saddam Hussain and Arshad, Muhammad Arif and Qamar, Maryam and Khan, Asifullah},
   title = {Autonomous drone swarm navigation and multi-target tracking in 3D environments with dynamic obstacles},
   journal = {arXiv preprint arXiv:2202.06253},
   year = {2022},
   type = {Journal Article}
}

@inproceedings{RN96,
   author = {Tosato, Pietro and Facinelli, Daniele and Prada, Maurizio and Gemma, Luca and Rossi, Maurizio and Brunelli, Davide},
   title = {An autonomous swarm of drones for industrial gas sensing applications},
   booktitle = {2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and Multimedia Networks"(WoWMoM)},
   publisher = {IEEE},
   pages = {1-6},
   ISBN = {1728102707},
   type = {Conference Proceedings}
}