Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
The paradigm of Internet of Things (IoT) is transforming physical environments into smart and interactive platforms to offer a wide range of innovative services supported by the evolution towards 5G networks. A major class of emerging services relies on highly intensive computations to make real-tim...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | article |
| منشور في: |
2019
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/11795 https://doi.org/10.1109/ACCESS.2019.2956150 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8915792 |
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| _version_ | 1864513489317396480 |
|---|---|
| author | Islambouli, Rania |
| author2 | Sharafeddine, Sanaa |
| author2_role | author |
| author_facet | Islambouli, Rania Sharafeddine, Sanaa |
| author_role | author |
| dc.creator.none.fl_str_mv | Islambouli, Rania Sharafeddine, Sanaa |
| dc.date.none.fl_str_mv | 2019 2020-02-04T10:44:54Z 2020-02-04T10:44:54Z 2020-02-04 |
| dc.identifier.none.fl_str_mv | 2169-3536 http://hdl.handle.net/10725/11795 https://doi.org/10.1109/ACCESS.2019.2956150 Islambouli, R., & Sharafeddine, S. (2019). Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks. IEEE Access, 7, 172860-172870. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8915792 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | IEEE Access |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The paradigm of Internet of Things (IoT) is transforming physical environments into smart and interactive platforms to offer a wide range of innovative services supported by the evolution towards 5G networks. A major class of emerging services relies on highly intensive computations to make real-time decisions with ultra-low latency. Edge computing has been established as an effective approach to reduce the latency overhead of cloud computing and effectively augment the computational capabilities of IoT devices. In this work, we leverage the mobility and agility of Unmanned Aerial Vehicles (UAVs) as mobile edge servers or cloudlets to offer computation offloading opportunities to IoT devices. In particular, we consider the joint problem of optimizing the number and positions of deployed UAV cloudlets in 3D space and task offloading decisions with cooperation among UAVs, in order to provision IoT services with strict latency requirements. We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. The performance of the meta-heuristic solution is evaluated and compared to the optimal solution as a function of various system parameters and for different application use cases. It is shown to achieve near-optimal performance with low complexity and, thus, can efficiently scale up to large IoT network scenarios. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_7cafefca11f6096a69e120e8ebe8f8bb |
| identifier_str_mv | 2169-3536 Islambouli, R., & Sharafeddine, S. (2019). Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks. IEEE Access, 7, 172860-172870. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/11795 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT NetworksIslambouli, RaniaSharafeddine, SanaaThe paradigm of Internet of Things (IoT) is transforming physical environments into smart and interactive platforms to offer a wide range of innovative services supported by the evolution towards 5G networks. A major class of emerging services relies on highly intensive computations to make real-time decisions with ultra-low latency. Edge computing has been established as an effective approach to reduce the latency overhead of cloud computing and effectively augment the computational capabilities of IoT devices. In this work, we leverage the mobility and agility of Unmanned Aerial Vehicles (UAVs) as mobile edge servers or cloudlets to offer computation offloading opportunities to IoT devices. In particular, we consider the joint problem of optimizing the number and positions of deployed UAV cloudlets in 3D space and task offloading decisions with cooperation among UAVs, in order to provision IoT services with strict latency requirements. We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. The performance of the meta-heuristic solution is evaluated and compared to the optimal solution as a function of various system parameters and for different application use cases. It is shown to achieve near-optimal performance with low complexity and, thus, can efficiently scale up to large IoT network scenarios.PublishedN/A2020-02-04T10:44:54Z2020-02-04T10:44:54Z20192020-02-04Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2169-3536http://hdl.handle.net/10725/11795https://doi.org/10.1109/ACCESS.2019.2956150Islambouli, R., & Sharafeddine, S. (2019). Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks. IEEE Access, 7, 172860-172870.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/8915792enIEEE Accessinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/117952021-03-19T10:47:39Z |
| spellingShingle | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks Islambouli, Rania |
| status_str | publishedVersion |
| title | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| title_full | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| title_fullStr | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| title_full_unstemmed | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| title_short | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| title_sort | Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks |
| url | http://hdl.handle.net/10725/11795 https://doi.org/10.1109/ACCESS.2019.2956150 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8915792 |