Joint Optimization of UAV Trajectory and Sensor Uploading Powers for UAV-Assisted Data Collection in Wireless Sensor Networks

Wang, Yinlu; Chen, Ming; Pan, Cunhua; Wang, Kezhi; Pan, Yijin

doi:10.1109/jiot.2021.3126329

Cited by 44 publications

(23 citation statements)

References 25 publications

(40 reference statements)

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“…Recently, UAVs have been adopted in many wireless communication scenarios due to their controllable mobility, their ability to provide LOS communications as well as surveillance. For instance, the works in [14] and [15] show the potential of UAVs as a valuable addition to wireless sensor networks (WSNs). Specifically, in [14], the trajectory and power consumption of a UAV are jointly designed for minimizing the total energy of a data collection WSN.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, the works in [14] and [15] show the potential of UAVs as a valuable addition to wireless sensor networks (WSNs). Specifically, in [14], the trajectory and power consumption of a UAV are jointly designed for minimizing the total energy of a data collection WSN. Moreover, joint scheduling and optimization of the trajectory of a charging UAV in a WSN is addressed in [15].…”

Section: Related Workmentioning

confidence: 99%

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Physical Layer Security Enhancement via Intelligent Omni-Surfaces and UAV-Friendly Jamming

et al. 2023

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Intelligent reflecting surfaces (IRS) are considered one of the prominent technologies to be adopted in 6G and beyond networks. However, one of the main IRS limitations is restricting the communication to the reflective dimension, which means that users located behind the IRS surface cannot benefit from it. In this paper, we make use of intelligent omni-surfaces (IOS), as an alternative to IRS, in addition to unmanned aerial vehicles (UAV) to achieve secure communication in an Internet-of-Things (IoT) communication system. Specifically, we propose IOS-UAV assisted communication wherein an access point (AP) tries to send confidential information to a legitimate IoT device in presence of an eavesdropper. The UAV serves two fold; it acts as a friendly jammer that is trying to degrade the signal quality at the eavesdropper and as a source of energy to power up the IoT device via simultaneous wireless information and power transfer (SWIPT) to address the limited power available to it. We formulate an average secrecy rate maximization problem, which jointly optimizes the AP and UAV transmission powers, the UAV trajectory, IOS phase shifts and power splitting factor. The formulated problem is non-convex, therefore we exploit successive convex approximation (SCA) to tackle this issue. Simulation results show that the iterative SCA solution converges rapidly. Besides, the proposed scheme outperforms the traditional system without IOS by a gap of 140% in terms of the secrecy capacity.INDEX TERMS Intelligent omni-surface, unmanned aerial vehicle, simultaneous wireless information and power transfer, physical layer security, Internet of things, successive convex approximation.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Physical Layer Security Enhancement via Intelligent Omni-Surfaces and UAV-Friendly Jamming

et al. 2023

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“…During disasters, the base stations are usually seriously destroyed, which makes it difficult for rescuers to assist survivors efficiently. Equipped with many advanced sensors, UAVs become promising data mules for sensor network data collection, which can efficiently fly to disaster areas, hover overhand, and collect and transmit real-time information without the influence of road obstacles [8,9]. Besides, in search and rescue scenarios, intelligent sensors installed on UAVs, such as Infra-red cameras and synthetic patrol radar, can quickly discover the survivors and give the accurate positions for safer and quicker rescue.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol

Zhang

Liu

2022

Sensors

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Unmanned aerial vehicles are becoming promising platforms for disaster relief, such as providing emergency communication services in wireless sensor networks, delivering some living supplies, and mapping for disaster recovery. Dynamic task scheduling plays a very critical role in coping with emergent tasks. To solve the multi-UAV dynamic task scheduling, this paper constructs a multi-constraint mathematical model for multi-UAV dynamic task scheduling, involving task demands and platform capabilities. Three objectives are considered, which are to maximize the total profit of scheduled tasks, to minimize the time consumption, and to balance the number of scheduled tasks for multiple UAVs. The multi-objective problem is converted into single-objective optimization via the weighted sum method. Then, a novel dynamic task scheduling method based on a hybrid contract net protocol is proposed, including a buy-sell contract, swap contract, and replacement contract. Finally, extensive simulations are conducted under three scenarios with emergency tasks, pop-up obstacles, and platform failure to verify the superiority of the proposed method.

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“…UAV-assisted wireless networks are a promising technology for improving network performance [9]. The UAV's ability to fly allows it to get close to the device quickly without being hindered by ground obstacles [10]. Through UAV-assisted data collection and energy transmission, it provides an efficient network service for urban monitoring networks.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in UAV-Assisted Wireless Powered Communication Networks for Urban Monitoring

Lyu

Zhang

2022

Wireless Communications and Mobile Computing

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In this paper, we studied the unmanned aerial vehicle-assisted urban monitoring network, in which unmanned aerial vehicle (UAV) with wireless power transmission provides energy transmission and data collection services for the network. Considering the density of the urban monitoring network, we use the k -means algorithm to cluster the monitoring nodes and reduce the complexity of the UAV services. The UAVs are serviced using a fly-hover-communication protocol. During hovering, the UAV works in the full-duplex mode, collecting data from cluster head nodes on one side and recharging nodes in coverage on the other side. We propose a multiobjective joint optimization problem that considers maximizing the amount of data collection and energy transfer and minimizing the energy consumption of the UAV during the service period. In the optimization process, there is a partial conflict between the three objectives. For this reason, the importance of the optimization objectives is considered and described by weighting parameters. A multiobjective joint deep deterministic policy gradient algorithm is proposed for the multiobjective control policy of UAVs. Numerical results show that the proposed algorithm can achieve the joint optimization of multiple objectives and is compared with other algorithms to verify the superiority of the proposed algorithm.

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Joint Optimization of UAV Trajectory and Sensor Uploading Powers for UAV-Assisted Data Collection in Wireless Sensor Networks

Cited by 44 publications

References 25 publications

Physical Layer Security Enhancement via Intelligent Omni-Surfaces and UAV-Friendly Jamming

Physical Layer Security Enhancement via Intelligent Omni-Surfaces and UAV-Friendly Jamming

A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol

Resource Allocation in UAV-Assisted Wireless Powered Communication Networks for Urban Monitoring

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