Wireless Charger Placement for Directional Charging

Dai, Haipeng; Wang, Xiaoyu; Liu, Alex X.; Ma, Huizhen; Chen, Guihai; Dou, Wanchun

doi:10.1109/tnet.2018.2855398

Cited by 73 publications

(15 citation statements)

References 42 publications

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“…Recently, PBs deployment optimization emerged as a potential technique to ban blind-spots and homogenize the network energy availability. For instance, in [20] the authors take into account directional antenna patterns to optimize the placement of PBs in order to maximize a charge utility function for all deployed sensors. Therein, they consider the benefits of directivity over the omnidirectional radiation, and propose an algorithm to dynamically place the PBs as the network topology changes.…”

Section: A Related Workmentioning

confidence: 99%

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Rosabal

López

Alves

et al. 2021

IEEE Internet Things J.

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Wireless energy transfer (WET) is emerging as an enabling green technology for Internet of Things (IoT) networks. WET allows the IoT devices to wirelessly recharge their batteries with energy from external sources such as dedicated radio frequency transmitters called power beacons (PBs). In this paper, we investigate the optimal deployment of PBs that guarantees a network-wide energy outage constraint. Optimal positions for the PBs are determined by maximizing the average incident power for the worst location in the service area since no information about the sensor deployment is provided. Such network planning guarantees the fairest harvesting performance for all the IoT devices. Numerical simulations evidence that our proposed optimization framework improves the energy supply reliability compared to benchmark schemes. Additionally, we show that although both, the number of deployed PBs and the number of antennas per PB, introduce performance improvements, the former has a dominant role. Finally, our proposal allows to extend the coverage area while keeping the total power budget fixed, which additionally reduces the level of electromagnetic radiation in the vicinity of PBs.

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Section: A Related Workmentioning

confidence: 99%

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Rosabal

López

Alves

et al. 2021

IEEE Internet Things J.

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“…While the WPT technology has motivated considerable research and development in the past two decades [13][14][15], there are still several fundamental issues which need further investigation to maximize the potential of this technology. Traditional WPT systems are not robust against alteration of distance and misalignment between coils [5,16], and variations in the terminating impedance of an electric power grid or battery over time [1]. To date, several techniques have been proposed to optimize the efficiency of power transfer, which include dynamic adjustment of operating frequency (resonant-frequency tracking) [17,18], combination of multiple receivers and repeaters for adaptive impedance matching [19], and adding nonlinear tuning elements in circuits [7,10].…”

Section: Introductionmentioning

confidence: 99%

Robust extended-range wireless power transfer using a higher-order PT-symmetric platform

Sakhdari

Hajizadegan

Chen

2020

Phys. Rev. Research

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A fundamental challenge for the nonradiative wireless power transfer (WPT) resides in maintaining the stable power transmission with a consistently high efficiency under dynamic conditions. Here, we propose and experimentally demonstrate that a frequency-locked WPT system satisfying the higher-order parity-time (PT) symmetry can achieve a near-unity power transfer efficiency that is resilient to effects of distance variation and misalignment between coils, and impedance fluctuations in electric grids. In specific higher-order PT electronic systems, a purely real-valued and coupling-invariant (nonbifurcated) eigenfrequency would enable the robust and efficient wireless charging without frequency hopping or adaptive impedance matching, even for midrange operation. We envision that this WPT technique may provide reliable, fast and efficient power delivery for a variety of consumer electronics, electric vehicles, and medical devices.

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“…It is reported that there is still up to 90% residue energy in the network when energy holes appear [13], [14]. Recently wireless charging technology becomes a new approach to the energy issue by using battery charging or environment harvesting [15]- [19]. However, sometimes this is inconvenient or impractical in some hostile environments.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Empowered Path Selection: A Survey of Ant Colony Optimization for Static and Mobile Sensor Networks

Chen

Wang

et al. 2020

IEEE Access

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Artificial intelligence-empowered path selection plays an important role in wireless sensor networks (WSNs), because it can exceed the cognitive performance of humans and determine multiple aspects of the network performance. Ant colony optimization (ACO) is an effective intelligence algorithm which succeeds in addressing several issues of WSNs, including data transmission, node deployment, etc. There exist several ACO-based transmission strategies for WSNs, but the summary and comparison of such works are very limited. This paper provides a comprehensive overview of ACO-based transmission strategies for static and mobile WSNs. First, we provide a classification of existing ACO-based transmission methods, which distinguishes itself from other works in network types. Second, the highly typical ACObased transmission strategies for WSNs are illustrated and discussed. Finally, we summarize the paper and present several open issues concerning the design of such networks. This survey contributes to system design guidance and network performance improvement. INDEX TERMS Wireless sensor networks, transmission protocol, ant colony optimization.

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Wireless Charger Placement for Directional Charging

Cited by 73 publications

References 42 publications

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Robust extended-range wireless power transfer using a higher-order PT-symmetric platform

Artificial Intelligence-Empowered Path Selection: A Survey of Ant Colony Optimization for Static and Mobile Sensor Networks

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