Trajectory design and power control in legitimate unmanned aerial vehicle monitoring networks

Hu, Yingdong; Zhang, Shibing; Li, Ye; Gao, Ruifeng

doi:10.1016/j.phycom.2021.101281

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…However, the stability of the proposed method is ignored. Yh et al [37] design a method that optimizes the flight path of UAV and adaptively controls the interference power on the suspicious link to enhance the average surveillance rate in a limited flight time. However, the algorithm only perform advantages while solving small scale problem.…”

Section: Related Workmentioning

confidence: 99%

Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks

Liu

Pan

Sun

et al. 2022

IEEE Internet Things J.

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Wireless rechargeable sensor networks with a charging unmanned aerial vehicle (CUAV) have the broad application prospects in the power supply of the rechargeable sensor nodes (SNs). However, how to schedule a CUAV and design the trajectory to improve the charging efficiency of the entire system is still a vital problem. In this paper, we formulate a joint-CUAV scheduling and trajectory optimization problem (JSTOP) to simultaneously minimize the hovering points of CUAV, the number of the repeatedly covered SNs and the flying distance of CUAV for charging all SNs. Due to the complexity of JSTOP, it is decomposed into two optimization subproblems that are CUAV scheduling optimization problem (CSOP) and CUAV trajectory optimization problem (CTOP). CSOP is a hybrid optimization problem that consists of the continuous and discrete solution space, and the solution dimension in CSOP is not fixed since it should be changed with the number of hovering points of CUAV. Moreover, CTOP is a completely discrete optimization problem. Thus, we propose a particle swarm optimization (PSO) with a flexible dimension mechanism, a K-means operator and a punishment-compensation mechanism (PSOFKP) and a PSO with a discretization factor, a 2-opt operator and a path crossover reduction mechanism (PSOD2P) to solve the converted CSOP and CTOP, respectively. Simulation results evaluate the benefits of PSOFKP and PSOD2P under different scales and settings of the network, and the stability of the proposed algorithms is verified.

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Section: Related Workmentioning

confidence: 99%

Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks

Liu

Pan

Sun

et al. 2022

IEEE Internet Things J.

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“…A common design objective is to determine an optimal detection threshold, which minimizes the overall detection error rate. When UAV is involved, the position or trajectory of UAV can be further optimized for this purpose [67], [79].…”

Section: Pls Scenarios and Secrecy Performance Metricsmentioning

confidence: 99%

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Wang,

Gao

et al. 2021

Preprint

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Due to its high mobility and flexible deployment, unmanned aerial vehicle (UAV) is drawing unprecedented interest in both military and civil applications to enable agile wireless communications and provide ubiquitous connectivity. Mainly operating in an open environment, UAV communications can benefit from dominant line-of-sight links; however, it on the other hand renders the UAVs more vulnerable to malicious eavesdropping or jamming attacks. Recently, physical layer security (PLS), which exploits the inherent randomness of the wireless channels for secure communications, has been introduced to UAV systems as an important complement to the conventional cryptographybased approaches. In this paper, a comprehensive survey on the current achievements of the UAV-aided wireless communications is conducted from the PLS perspective. We first introduce the basic concepts of UAV communications including the typical static/mobile deployment scenarios, the unique characteristics of air-to-ground channels, as well as various roles that a UAV may act when PLS is concerned. Then, we introduce the widely used secrecy performance metrics and start by reviewing the secrecy performance analysis and enhancing techniques for statically deployed UAV systems, and extend the discussion to a more general scenario where the UAVs' mobility is further exploited. For both cases, respectively, we summarize the commonly adopted methodologies in the corresponding analysis and design, then describe important works in the literature in detail. Finally, potential research directions and challenges are discussed to provide an outlook for future works in the area of UAV-PLS in 5G and beyond networks.

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Trajectory design and power control in legitimate unmanned aerial vehicle monitoring networks

Cited by 2 publications

References 26 publications

Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks

Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks

Physical Layer Security for UAV Communications in 5G and Beyond Networks

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