Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks

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dc.contributor.author Islambouli, Rania
dc.contributor.author Sharafeddine, Sanaa
dc.date.accessioned 2020-02-04T10:44:54Z
dc.date.available 2020-02-04T10:44:54Z
dc.date.copyright 2019 en_US
dc.date.issued 2020-02-04
dc.identifier.issn 2169-3536 en_US
dc.identifier.uri http://hdl.handle.net/10725/11795
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.title Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 200502746 en_US
dc.author.department Computer Science And Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal IEEE Access en_US
dc.journal.volume 7 en_US
dc.article.pages 172860-70 en_US
dc.keywords Edge computing en_US
dc.keywords Unmanned aerial vehicles en_US
dc.keywords 3D deployment en_US
dc.keywords IoT network en_US
dc.identifier.doi https://doi.org/10.1109/ACCESS.2019.2956150 en_US
dc.identifier.ctation 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. en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/8915792 en_US
dc.orcid.id https://orcid.org/0000-0001-6548-1624 en_US
dc.author.affiliation Lebanese American University en_US

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