Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers
This paper studies the anti-jamming problem of unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) communication networks in the presence of a jammer under the accurate probabilistic line-of-sight (LoS) model. Our goal is to maximize the information collection throughput of the system und...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/1/70 |
| _version_ | 1797431190966239232 |
|---|---|
| author | Zhi Ji Yufang Gao Wendong Yang Chuanzhen Rong |
| author_facet | Zhi Ji Yufang Gao Wendong Yang Chuanzhen Rong |
| author_sort | Zhi Ji |
| collection | DOAJ |
| description | This paper studies the anti-jamming problem of unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) communication networks in the presence of a jammer under the accurate probabilistic line-of-sight (LoS) model. Our goal is to maximize the information collection throughput of the system under the assumption that only the jammer’s approximate location is known. To this end, we formulate a throughput maximization problem by optimizing the UAV trajectory, the IoT devices’ transmit power, and communication scheduling under the accurate real-time probabilistic LoS channel. However, the proposed optimization problem is non-convex and coupled, and hence intractable to be solved. In order to tackle the problem, a robust iterative algorithm is proposed by leveraging the block coordinate descent (BCD) method, the successive convex approximation (SCA) technology, the difference of convex (D.C) programming approach, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">S</mi></semantics></math></inline-formula>-procedure. Extensive simulation results show that our proposed algorithm significantly improves the system throughput while achieving a practical anti-jamming effect compared with the benchmark algorithms. |
| first_indexed | 2024-03-09T09:41:20Z |
| format | Article |
| id | doaj.art-08f151074e1745f7bf71e13058cb6ddb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T09:41:20Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-08f151074e1745f7bf71e13058cb6ddb2023-12-02T00:53:01ZengMDPI AGSensors1424-82202022-12-012317010.3390/s23010070Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of JammersZhi Ji0Yufang Gao1Wendong Yang2Chuanzhen Rong3The College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaThe College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, ChinaThe College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, ChinaThis paper studies the anti-jamming problem of unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) communication networks in the presence of a jammer under the accurate probabilistic line-of-sight (LoS) model. Our goal is to maximize the information collection throughput of the system under the assumption that only the jammer’s approximate location is known. To this end, we formulate a throughput maximization problem by optimizing the UAV trajectory, the IoT devices’ transmit power, and communication scheduling under the accurate real-time probabilistic LoS channel. However, the proposed optimization problem is non-convex and coupled, and hence intractable to be solved. In order to tackle the problem, a robust iterative algorithm is proposed by leveraging the block coordinate descent (BCD) method, the successive convex approximation (SCA) technology, the difference of convex (D.C) programming approach, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">S</mi></semantics></math></inline-formula>-procedure. Extensive simulation results show that our proposed algorithm significantly improves the system throughput while achieving a practical anti-jamming effect compared with the benchmark algorithms.https://www.mdpi.com/1424-8220/23/1/70probabilistic LoS channelIoT devicesUAV communicationsanti-jammingrobust design |
| spellingShingle | Zhi Ji Yufang Gao Wendong Yang Chuanzhen Rong Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers Sensors probabilistic LoS channel IoT devices UAV communications anti-jamming robust design |
| title | Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers |
| title_full | Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers |
| title_fullStr | Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers |
| title_full_unstemmed | Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers |
| title_short | Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers |
| title_sort | robust trajectory and resource optimization in uav enabled iot networks under probabilistic los channel in presence of jammers |
| topic | probabilistic LoS channel IoT devices UAV communications anti-jamming robust design |
| url | https://www.mdpi.com/1424-8220/23/1/70 |
| work_keys_str_mv | AT zhiji robusttrajectoryandresourceoptimizationinuavenablediotnetworksunderprobabilisticloschannelinpresenceofjammers AT yufanggao robusttrajectoryandresourceoptimizationinuavenablediotnetworksunderprobabilisticloschannelinpresenceofjammers AT wendongyang robusttrajectoryandresourceoptimizationinuavenablediotnetworksunderprobabilisticloschannelinpresenceofjammers AT chuanzhenrong robusttrajectoryandresourceoptimizationinuavenablediotnetworksunderprobabilisticloschannelinpresenceofjammers |