Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
Internet of Things (IoT) has emerged as a new technology to enhance many services and applications including the industrial sector; thus, enabling the Industry 4.0 among many others. IoT created many challenges as the services response time requirements have grown more strict and urged the need for...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | conferenceObject |
| منشور في: |
2021
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/14335 https://doi.org/10.1109/IMCET53404.2021.9665580 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/9665580 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513469258137600 |
|---|---|
| author | Abbas, Nadine |
| author2 | Abusrewil, Rayan Najjar, Amir Sharafeddine, Sanaa |
| author2_role | author author author |
| author_facet | Abbas, Nadine Abusrewil, Rayan Najjar, Amir Sharafeddine, Sanaa |
| author_role | author |
| dc.creator.none.fl_str_mv | Abbas, Nadine Abusrewil, Rayan Najjar, Amir Sharafeddine, Sanaa |
| dc.date.none.fl_str_mv | 2021 2023-01-05T10:02:35Z 2023-01-05T10:02:35Z 2023-01-05 |
| dc.identifier.none.fl_str_mv | 9781665405874 http://hdl.handle.net/10725/14335 https://doi.org/10.1109/IMCET53404.2021.9665580 Abbas, N., Abusrewil, R., Najjar, A., & Sharafeddine, S. (2021, December). Minimum UAV Fog Servers with Maximum IoT Devices Association Using Genetic Algorithms. In 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET) (pp. 17-22). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/9665580 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Internet of Things (IoT) has emerged as a new technology to enhance many services and applications including the industrial sector; thus, enabling the Industry 4.0 among many others. IoT created many challenges as the services response time requirements have grown more strict and urged the need for faster means of communications and computation processing. To solve this problem, fog computing has emerged to serve IoT devices at closer distances than cloud computing. In this paper, we leverage the Unmanned Aerial Vehicles (UAVs) mounted cloudlets to provide computation offloading opportunities to IoT devices while meeting the latency constraints. We aim at deploying the minimum number of UAVs to serve the maximum number of IoT devices within their deadlines subject to communication and computation constraints. We first formulate the problem as a multi-objective optimization problem which can be shown to be mixed-integer non-linear program (MINLP) and is NP-hard. We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. Simulation results demonstrated the efficiency of the proposed approach under different system parameters and constraints in minimizing the number of UAVs while maximizing the number of served IoT devices. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_adf5d80f08472f4ab0c988e4c64256d2 |
| identifier_str_mv | 9781665405874 Abbas, N., Abusrewil, R., Najjar, A., & Sharafeddine, S. (2021, December). Minimum UAV Fog Servers with Maximum IoT Devices Association Using Genetic Algorithms. In 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET) (pp. 17-22). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/14335 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Minimum UAV fog servers with maximum IoT devices association using genetic algorithmsAbbas, NadineAbusrewil, RayanNajjar, AmirSharafeddine, SanaaInternet of Things (IoT) has emerged as a new technology to enhance many services and applications including the industrial sector; thus, enabling the Industry 4.0 among many others. IoT created many challenges as the services response time requirements have grown more strict and urged the need for faster means of communications and computation processing. To solve this problem, fog computing has emerged to serve IoT devices at closer distances than cloud computing. In this paper, we leverage the Unmanned Aerial Vehicles (UAVs) mounted cloudlets to provide computation offloading opportunities to IoT devices while meeting the latency constraints. We aim at deploying the minimum number of UAVs to serve the maximum number of IoT devices within their deadlines subject to communication and computation constraints. We first formulate the problem as a multi-objective optimization problem which can be shown to be mixed-integer non-linear program (MINLP) and is NP-hard. We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. Simulation results demonstrated the efficiency of the proposed approach under different system parameters and constraints in minimizing the number of UAVs while maximizing the number of served IoT devices.Includes bibliographical references.IEEE2023-01-05T10:02:35Z2023-01-05T10:02:35Z20212023-01-05Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9781665405874http://hdl.handle.net/10725/14335https://doi.org/10.1109/IMCET53404.2021.9665580Abbas, N., Abusrewil, R., Najjar, A., & Sharafeddine, S. (2021, December). Minimum UAV Fog Servers with Maximum IoT Devices Association Using Genetic Algorithms. In 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET) (pp. 17-22). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/9665580eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/143352023-01-05T10:02:35Z |
| spellingShingle | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms Abbas, Nadine |
| status_str | publishedVersion |
| title | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| title_full | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| title_fullStr | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| title_full_unstemmed | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| title_short | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| title_sort | Minimum UAV fog servers with maximum IoT devices association using genetic algorithms |
| url | http://hdl.handle.net/10725/14335 https://doi.org/10.1109/IMCET53404.2021.9665580 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/9665580 |