Jamming-aware optimization for UAV trajectory design and internet of things devices clustering
Abstract Radio jamming represents a serious threat in wireless networks that can cause denial of service (DoS) attacks for the network users. The jammer transmits jamming signals to disrupt the normal operation of the wireless networks. With proliferation of unmanned aerial vehicle (UAV)-based wirel...
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Springer
2023-01-01
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| Серии: | Complex & Intelligent Systems |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s40747-023-00970-3 |
| _version_ | 1827890190036762624 |
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| author | Abdullah Almasoud |
| author_facet | Abdullah Almasoud |
| author_sort | Abdullah Almasoud |
| collection | DOAJ |
| description | Abstract Radio jamming represents a serious threat in wireless networks that can cause denial of service (DoS) attacks for the network users. The jammer transmits jamming signals to disrupt the normal operation of the wireless networks. With proliferation of unmanned aerial vehicle (UAV)-based wireless networks and Internet of Things technologies, jamming attacks have become a major challenge to the practical adoption of these technologies. In this paper, we investigate the problem of optimizing the performance of the UAV data collection from ground IoT devices in presence of a malicious jammer. The IoT devices are clustered, and the UAV collects the data from the cluster heads (CHs) such that the harmful effect of the jammer is mitigated. The objective is to minimize the flight time of the UAV while collecting the data from the ground IoT devices in presence of the jamming attack. We modeled our problem mathematically as an integer linear program (ILP). Due to the difficulty of solving the optimization problem when the scale of the problem is large, we proposed Jamming-Aware UAV Routing and IoT Devices Clustering Algorithm (JA-RC). This algorithm is Genetic-based and can solve the original optimization problem in a more efficient way. Then, we investigate the performance of the proposed algorithm under different settings and scenarios. |
| first_indexed | 2024-03-12T21:06:08Z |
| format | Article |
| id | doaj.art-86226f820f204bad8ba8637ae291a456 |
| institution | Directory Open Access Journal |
| issn | 2199-4536 2198-6053 |
| language | English |
| last_indexed | 2024-03-12T21:06:08Z |
| publishDate | 2023-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj.art-86226f820f204bad8ba8637ae291a4562023-07-30T11:28:03ZengSpringerComplex & Intelligent Systems2199-45362198-60532023-01-01944571459010.1007/s40747-023-00970-3Jamming-aware optimization for UAV trajectory design and internet of things devices clusteringAbdullah Almasoud0Department of Electrical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz UniversityAbstract Radio jamming represents a serious threat in wireless networks that can cause denial of service (DoS) attacks for the network users. The jammer transmits jamming signals to disrupt the normal operation of the wireless networks. With proliferation of unmanned aerial vehicle (UAV)-based wireless networks and Internet of Things technologies, jamming attacks have become a major challenge to the practical adoption of these technologies. In this paper, we investigate the problem of optimizing the performance of the UAV data collection from ground IoT devices in presence of a malicious jammer. The IoT devices are clustered, and the UAV collects the data from the cluster heads (CHs) such that the harmful effect of the jammer is mitigated. The objective is to minimize the flight time of the UAV while collecting the data from the ground IoT devices in presence of the jamming attack. We modeled our problem mathematically as an integer linear program (ILP). Due to the difficulty of solving the optimization problem when the scale of the problem is large, we proposed Jamming-Aware UAV Routing and IoT Devices Clustering Algorithm (JA-RC). This algorithm is Genetic-based and can solve the original optimization problem in a more efficient way. Then, we investigate the performance of the proposed algorithm under different settings and scenarios.https://doi.org/10.1007/s40747-023-00970-3Unmanned aerial vehicleUAVInternet of thingsIoTAnti-jammingJamming-aware |
| spellingShingle | Abdullah Almasoud Jamming-aware optimization for UAV trajectory design and internet of things devices clustering Complex & Intelligent Systems Unmanned aerial vehicle UAV Internet of things IoT Anti-jamming Jamming-aware |
| title | Jamming-aware optimization for UAV trajectory design and internet of things devices clustering |
| title_full | Jamming-aware optimization for UAV trajectory design and internet of things devices clustering |
| title_fullStr | Jamming-aware optimization for UAV trajectory design and internet of things devices clustering |
| title_full_unstemmed | Jamming-aware optimization for UAV trajectory design and internet of things devices clustering |
| title_short | Jamming-aware optimization for UAV trajectory design and internet of things devices clustering |
| title_sort | jamming aware optimization for uav trajectory design and internet of things devices clustering |
| topic | Unmanned aerial vehicle UAV Internet of things IoT Anti-jamming Jamming-aware |
| url | https://doi.org/10.1007/s40747-023-00970-3 |
| work_keys_str_mv | AT abdullahalmasoud jammingawareoptimizationforuavtrajectorydesignandinternetofthingsdevicesclustering |