UAV-Assisted Wireless Charging for Energy-Constrained IoT Devices Using Dynamic Matching

Su, Chunxia; Ye, Fang; Wang, Lichun; Wang, Li; Tian, Yuan; Han, Zhu

doi:10.1109/jiot.2020.2968346

Cited by 59 publications

(34 citation statements)

References 28 publications

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“…Furthermore, empowered by the latest achievements of wireless power transmission, UAVs can also be exploited as mobile and automated wireless chargers [150]. Especially, with the simultaneous wireless information and power transfer (SWIPT) technologies, the missions of battery charging and information transmission can be accomplished in a seamless joint [151].…”

Section: ) Large-scale Satellite Constellationmentioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

827

241

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As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies. First, we attempt to answer the question of "Is there any need for 6G?" by shedding light on its key driving factors, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of "What 6G may look like?". This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.

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Section: ) Large-scale Satellite Constellationmentioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

827

241

View full text Add to dashboard Cite

show abstract

“…Zhou et al, in [26], proposed an interactive approach based on the combined optimization problem of dynamic spectrum allocation and EV scheduling in the vehicle-to-grid communication. Su et al,in [27], modeled the interaction between the energy-constrained devices and unmanned aerial vehicles and presented the multiple-stage dynamic bipartite matching strategy in IoT. Sun et al, in [28], studied how to improve the energy utilization efficiency, through coordinating the traffic network and power distribution network.…”

Section: Related Workmentioning

confidence: 99%

Optimal Game-Based Energy Management with Renewable Energy for Secure Electric Vehicles Charging in Internet of Things

Chen

Jiang

2021

Mathematical Problems in Engineering

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The integration of smart grid and Internet of Things (IoT) has been facilitated with the proliferation of electric vehicles (EVs). However, due to EVs’ random mobility and different interests of energy demand, there exists a significant challenge to optimally schedule energy supply in IoT. In this paper, we propose a secure game theoretic scheme for charging EVs supplied by mobile charging stations (MCSs) in IoT, considering the dynamic renewable energy source. Firstly, the charging system composed of MCSs is developed to implement the charging service. Secondly, when the secure charging scheme of EV users is designed, the utility function of each entity in the charging system is formulated to express the trading relationship between EV users and MCSs. Moreover, with consideration of the competition and cooperation, we propose a Stackelberg game framework with sub-noncooperative optimization. Thirdly, the existence and uniqueness of both Stackelberg equilibrium (SE) and Nash equilibrium (NE) are theoretically analyzed and proved. Through the presented distributed energy scheduling algorithm, we can achieve the optimal solution. Finally, numerical results demonstrate the effectiveness and efficiency of our proposal through comparison with other existing schemes.

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“…Su et al proposed a novel multiple-stage dynamic matching to model the charging relationship between energy-constrained devices (ECDs) and UAVs. They maximized the total amount of charging energy by a multiple-period charging process [28]. Wu et al studied the UAV's trajectory optimization from the viewpoint of UAV's energy utilization efficiency.…”

Section: Related Workmentioning

confidence: 99%

“…where P 0 and P i are two constants representing the blade profile power and induced power in hovering status, respectively; U tip denotes the tip speed of the rotor; v 0 is known as the mean rotor induced velocity in hover; d 0 and s are fuselage drag ratio and rotor solidity, respectively; and ρ and A denote the air density and rotor disc area [28]. During the flight of the UAV, if the additional losses caused by acceleration and deceleration are ignored, the moving power is…”

Section: Uav-aided Wireless Power and Information Transfer Modelmentioning

confidence: 99%

Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-Scale Wireless Power and Information Transfer Networks

Qin

Zhao

et al. 2021

Remote Sensing

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Power consumption in wireless sensor networks is high, and the lifetime of a battery has become a bottleneck, restricting network performance. Wireless power transfer with a ground mobile charger is vulnerable to interference from the terrain and other factors, and hence it is difficult to deploy in practice. Accordingly, a novel paradigm is adopted where a multi-UAV (unmanned aerial vehicle) with batteries can transfer power and information to SDs (sensor devices) in a large-scale sensor network. However, there are discrete events, continuous process, time delay, and decisions in such a complicated system. From the perspective of a hybrid system, a hybrid colored cyber Petri net system is proposed here to depict and analyze this problem. Furthermore, the energy utilization rate and information collection time delay are conflict with each other; therefore, UAV-aided wireless power and information transfer is formulated as a multi-objective optimization problem. For this reason, the MAC-NSGA II (multiple ant colony-nondominated sorting genetic algorithm II) is proposed in this work. Firstly, the optimal trajectory of multiple UAVs was obtained, and on this basis, the above two objectives were optimized simultaneously. Large-scale simulation results show that the proposed algorithm is superior to NSGA II and MOEA/D in terms of energy efficiency and information collection delay.

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UAV-Assisted Wireless Charging for Energy-Constrained IoT Devices Using Dynamic Matching

Cited by 59 publications

References 28 publications

The Road Towards 6G: A Comprehensive Survey

The Road Towards 6G: A Comprehensive Survey

Optimal Game-Based Energy Management with Renewable Energy for Secure Electric Vehicles Charging in Internet of Things

Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-Scale Wireless Power and Information Transfer Networks

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