Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks
This paper investigates a system for unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) and non-orthogonal multiple access (NOMA) mobile edge computing (MEC) in the Internet of Things (IoT) - UWNMI, wherein a UAV equipped with an energy transmitter (ET) acts as a relay. In particula...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10314479/ |
| _version_ | 1797545236289814528 |
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| author | Anh-Nhat Nguyen Dac-Binh Ha Truong Van Truong Van Nhan Vo Surasak Sanguanpong Chakchai So-In |
| author_facet | Anh-Nhat Nguyen Dac-Binh Ha Truong Van Truong Van Nhan Vo Surasak Sanguanpong Chakchai So-In |
| author_sort | Anh-Nhat Nguyen |
| collection | DOAJ |
| description | This paper investigates a system for unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) and non-orthogonal multiple access (NOMA) mobile edge computing (MEC) in the Internet of Things (IoT) - UWNMI, wherein a UAV equipped with an energy transmitter (ET) acts as a relay. In particular, we consider a situation involving two clusters of IoT devices (IDs) that have limited resources and therefore are unable to compute their own tasks and must instead offload them to a base station (BS) via the UAV relay (UR) in the presence of a passive eavesdropper. In the UWNMI system, the effects of imperfect channel state information (ICSI) and imperfect successive interference cancellation (ISIC) are considered, along with the usage of artificial noise (AN) to improve the physical layer security (PLS) of the system. We derive closed-form expressions for the successful computation probability (SCP) and secrecy outage probability (SOP) under the Nakagami-<inline-formula> <tex-math notation="LaTeX">$\mathfrak {m}$ </tex-math></inline-formula> fading channel model in order to evaluate the performance of the system. Moreover, we present optimization problems with the objectives of optimizing the position and height of the UR, the time switching ratio (TSR), and the power allocation for the AN in order to maximize the SCP and minimize the SOP. These problems are solved using a particle swarm optimization (PSO)-based algorithm. In addition, Monte Carlo simulation results are presented to validate the accuracy of our analysis based on simulations of the system performance under different values of the system parameters, including the number of antennas at the BS, the number of IDs in each cluster, the TSR, and the position and height of the UR. |
| first_indexed | 2024-03-10T14:12:38Z |
| format | Article |
| id | doaj.art-5d6e1ca91897425f96d0c27e83cdae39 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-10T14:12:38Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5d6e1ca91897425f96d0c27e83cdae392023-11-21T00:01:11ZengIEEEIEEE Access2169-35362023-01-011112780012781610.1109/ACCESS.2023.333175210314479Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT NetworksAnh-Nhat Nguyen0Dac-Binh Ha1https://orcid.org/0000-0002-1242-5159Truong Van Truong2https://orcid.org/0000-0003-0753-5203Van Nhan Vo3Surasak Sanguanpong4https://orcid.org/0000-0002-7045-7394Chakchai So-In5https://orcid.org/0000-0003-1026-191XDepartment of Computer Science, College of Computing, Applied Network Technology (ANT), Khon Kaen University, Khon Kaen, ThailandFaculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, VietnamFaculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, VietnamFaculty of Information Technology, Duy Tan University, Da Nang, VietnamDepartment of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, ThailandDepartment of Computer Science, College of Computing, Applied Network Technology (ANT), Khon Kaen University, Khon Kaen, ThailandThis paper investigates a system for unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) and non-orthogonal multiple access (NOMA) mobile edge computing (MEC) in the Internet of Things (IoT) - UWNMI, wherein a UAV equipped with an energy transmitter (ET) acts as a relay. In particular, we consider a situation involving two clusters of IoT devices (IDs) that have limited resources and therefore are unable to compute their own tasks and must instead offload them to a base station (BS) via the UAV relay (UR) in the presence of a passive eavesdropper. In the UWNMI system, the effects of imperfect channel state information (ICSI) and imperfect successive interference cancellation (ISIC) are considered, along with the usage of artificial noise (AN) to improve the physical layer security (PLS) of the system. We derive closed-form expressions for the successful computation probability (SCP) and secrecy outage probability (SOP) under the Nakagami-<inline-formula> <tex-math notation="LaTeX">$\mathfrak {m}$ </tex-math></inline-formula> fading channel model in order to evaluate the performance of the system. Moreover, we present optimization problems with the objectives of optimizing the position and height of the UR, the time switching ratio (TSR), and the power allocation for the AN in order to maximize the SCP and minimize the SOP. These problems are solved using a particle swarm optimization (PSO)-based algorithm. In addition, Monte Carlo simulation results are presented to validate the accuracy of our analysis based on simulations of the system performance under different values of the system parameters, including the number of antennas at the BS, the number of IDs in each cluster, the TSR, and the position and height of the UR.https://ieeexplore.ieee.org/document/10314479/Internet of Thingsunmanned aerial vehiclesenergy harvestingwireless power transfernon-orthogonal multiple accessmobile edge computing |
| spellingShingle | Anh-Nhat Nguyen Dac-Binh Ha Truong Van Truong Van Nhan Vo Surasak Sanguanpong Chakchai So-In Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks IEEE Access Internet of Things unmanned aerial vehicles energy harvesting wireless power transfer non-orthogonal multiple access mobile edge computing |
| title | Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks |
| title_full | Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks |
| title_fullStr | Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks |
| title_full_unstemmed | Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks |
| title_short | Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks |
| title_sort | secrecy performance analysis and optimization for uav relay enabled wpt and cooperative noma mec in iot networks |
| topic | Internet of Things unmanned aerial vehicles energy harvesting wireless power transfer non-orthogonal multiple access mobile edge computing |
| url | https://ieeexplore.ieee.org/document/10314479/ |
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