Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions
<p dir="ltr">Internet of Drones (IoD) is one of the promising technologies to enhance the performance of wireless networks. Deploying IoD to assist wireless networks, however, needs to address various design issues. Due to the highly dynamic nature of IoD networks, conventional metho...
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2023
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| _version_ | 1864513527055646720 |
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| author | Noor Aboueleneen (17984101) |
| author2 | Abdulmalik Alwarafy (17984104) Mohamed Abdallah (3073191) |
| author2_role | author author |
| author_facet | Noor Aboueleneen (17984101) Abdulmalik Alwarafy (17984104) Mohamed Abdallah (3073191) |
| author_role | author |
| dc.creator.none.fl_str_mv | Noor Aboueleneen (17984101) Abdulmalik Alwarafy (17984104) Mohamed Abdallah (3073191) |
| dc.date.none.fl_str_mv | 2023-03-02T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/ojcoms.2023.3251855 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Deep_Reinforcement_Learning_for_Internet_of_Drones_Networks_Issues_and_Research_Directions/25239775 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Distributed computing and systems software Drones Wireless networks Surveillance Task analysis Reinforcement learning Deep learning Traffic control Deep reinforcement learning Internet of drones networks issues |
| dc.title.none.fl_str_mv | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Internet of Drones (IoD) is one of the promising technologies to enhance the performance of wireless networks. Deploying IoD to assist wireless networks, however, needs to address various design issues. Due to the highly dynamic nature of IoD networks, conventional methods are expected to encounter inadequacies that can be resolved using emerging deep reinforcement learning (DRL) techniques. In this paper, we discuss the application of DRL for addressing various issues in IoD networks. We first overview the main features, types, applications, and services of IoD networks. Then, we briefly discuss some DRL algorithms used to address the issues and challenges of IoD networks. After that, we explain the most crucial issues in IoD networks and discuss some papers that show how DRL can address them. Finally, we provide insights into some promising research directions in the context of using DRL in IoD networks.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2023.3251855" target="_blank">https://dx.doi.org/10.1109/ojcoms.2023.3251855</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0d0afc1c76e5832bfcfef08a5b41eec0 |
| identifier_str_mv | 10.1109/ojcoms.2023.3251855 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25239775 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research DirectionsNoor Aboueleneen (17984101)Abdulmalik Alwarafy (17984104)Mohamed Abdallah (3073191)Information and computing sciencesDistributed computing and systems softwareDronesWireless networksSurveillanceTask analysisReinforcement learningDeep learningTraffic controlDeep reinforcement learningInternet of drones networksissues<p dir="ltr">Internet of Drones (IoD) is one of the promising technologies to enhance the performance of wireless networks. Deploying IoD to assist wireless networks, however, needs to address various design issues. Due to the highly dynamic nature of IoD networks, conventional methods are expected to encounter inadequacies that can be resolved using emerging deep reinforcement learning (DRL) techniques. In this paper, we discuss the application of DRL for addressing various issues in IoD networks. We first overview the main features, types, applications, and services of IoD networks. Then, we briefly discuss some DRL algorithms used to address the issues and challenges of IoD networks. After that, we explain the most crucial issues in IoD networks and discuss some papers that show how DRL can address them. Finally, we provide insights into some promising research directions in the context of using DRL in IoD networks.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2023.3251855" target="_blank">https://dx.doi.org/10.1109/ojcoms.2023.3251855</a></p>2023-03-02T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/ojcoms.2023.3251855https://figshare.com/articles/journal_contribution/Deep_Reinforcement_Learning_for_Internet_of_Drones_Networks_Issues_and_Research_Directions/25239775CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252397752023-03-02T06:00:00Z |
| spellingShingle | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions Noor Aboueleneen (17984101) Information and computing sciences Distributed computing and systems software Drones Wireless networks Surveillance Task analysis Reinforcement learning Deep learning Traffic control Deep reinforcement learning Internet of drones networks issues |
| status_str | publishedVersion |
| title | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| title_full | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| title_fullStr | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| title_full_unstemmed | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| title_short | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| title_sort | Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions |
| topic | Information and computing sciences Distributed computing and systems software Drones Wireless networks Surveillance Task analysis Reinforcement learning Deep learning Traffic control Deep reinforcement learning Internet of drones networks issues |