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DC Field | Value | Language |
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dc.contributor.author | Zhang, X | - |
dc.contributor.author | Zhang, G | - |
dc.contributor.author | Wang, K | - |
dc.contributor.author | Yang, K | - |
dc.date.accessioned | 2023-07-10T09:16:03Z | - |
dc.date.available | 2023-07-10T09:16:03Z | - |
dc.date.issued | 2023-06-22 | - |
dc.identifier | ORCID iDs: Guopeng Zhang http://orcid.org/0000-0001-7479-960X; Kezhi Wang https://orcid.org/0000-0001-8602-0800 | - |
dc.identifier | 53 | - |
dc.identifier.citation | Zhang, X. et al. (2023) 'Device association and trajectory planning for UAV-assisted MEC in IoT: a matching theory-based approach', Eurasip Journal on Wireless Communications and Networking, 2023 (1), 53, pp. 1 - 29. doi: 10.1186/s13638-023-02260-5. | en_US |
dc.identifier.issn | 1687-1472 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26818 | - |
dc.description | Availability of data and materials: Not applicable. | en_US |
dc.description.abstract | Copyright © The Author(s) 2023. Unmanned aircraft vehicles (UAVs)-enabled mobile edge computing (MEC) can enable Internet of Things devices (IoTD) to offload computing tasks to them. Considering this, we study how multiple aerial service providers (ASPs) compete with each other to provide edge computing services to multiple ground network operators (GNOs). An ASP owning multiple UAVs aims to achieve the maximum profit from providing MEC service to the GNOs, while a GNO operating multiple IoTDs aims to seek the computing service of a certain ASP to meet its performance requirements. To this end, we first quantify the conflicting interests of the ASPs and GNOs by using different profit functions. Then, the UAV scheduling and resource allocation is formulated as a multi-objective optimization problem. To address this problem, we first solve the UAV trajectory planning and resource allocation problem between one ASP and one GNO by using the Lagrange relaxation and successive convex optimization (SCA) methods. Based on the obtained results, the GNOs and ASPs are then associated in the framework based on the matching theory, which results in a weak Pareto optimality. Simulation results show that the proposed method achieves the considerable performance. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China under Grant 61971421 and Grant 62132004; Quzhou Government under Grant 2021D003; Sichuan Major Research and Development Project under Grant 22QYCX0168. | en_US |
dc.format.extent | 1 - 29 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Copyright © The Author(s) 2023. Rights and permissions: Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | unmanned aerial vehicle | en_US |
dc.subject | mobile edge computing | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | matching theory | en_US |
dc.title | Device association and trajectory planning for UAV-assisted MEC in IoT: a matching theory-based approach | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1186/s13638-023-02260-5 | - |
dc.relation.isPartOf | Eurasip Journal on Wireless Communications and Networking | - |
pubs.issue | 1 | - |
pubs.publication-status | Published online | - |
pubs.volume | 2023 | - |
dc.identifier.eissn | 1687-1499 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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