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Energy-Efficient Static Data Collector-based Scheme in Smart Cities
2022
Computers Materials & Continua
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In this study, we formulate a problem to optimize the movement trajectory and charging time of UAV so that sustainable operation of SDCs during a cycle can be achieved. ...
The sustainable charging process operates periodically in each cycle so that the UAV flies from a charging station and after recharging the SDCs, it comes back to the station to be recharged. ...
In the past decade, Wireless Power Transfer (WPT) technologies has been integrated into rechargeable sensor networks which leads to maximize the operation time of rechargeable devices. ...
doi:10.32604/cmc.2022.025736
fatcat:uhaxc3njsjcqxehwhwjmvjtn2y
Data Gathering and Energy Transfer Dilemma in UAV-Assisted Flying Access Network for IoT
2018
Sensors
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Furthermore, we suggest to control and optimize the UAV trajectory in order to complete its travel within a minimum time, while minimizing the energy spent and/or enhancing the network lifetime. ...
To extend the network lifetime, we present a novel use of UAV with energy harvesting module and wireless recharging capabilities. ...
Acknowledgments: This work has been conducted during the internship of Sara Arabi at the University of Quebec in Montreal (UQAM) under the supervision of Halima Elbiaze and Essaid Sabir. ...
doi:10.3390/s18051519
pmid:29751662
pmcid:PMC5982466
fatcat:2ub5c5hlo5hi7hdt6zu52okeda
Green UAV communications for 6G: A survey
2021
Chinese Journal of Aeronautics
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The UAV can work as a receiver to collect data in back scatter wireless sensor networks, where the UAV trajectory and sensor activation decisions can be jointly optimized to enhance the reliability of ...
The energy efficiency of UAV-assisted backscatter communication for data collection was investigated in Ref. 122 and Ref. 123 , which show that by employing the mobility of UAVs, the energy efficiency ...
The 3D trajectory optimization for anti-jamming UAV-assisted wireless sensor network was studied in Ref. 100 , where the rate was maximized by an iterative algorithm. ...
doi:10.1016/j.cja.2021.04.025
fatcat:t5yhxsloefc23b77larlmbxjm4
Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-Scale Wireless Power and Information Transfer Networks
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. ...
Firstly, the optimal trajectory of multiple UAVs was obtained, and on this basis, the above two objectives were optimized simultaneously. ...
This may include administrative and technical support, or donations in kind (e.g., materials used for experiments).
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13132611
fatcat:wm4cdmqrdrgu7c2evgz4ec6aza
A Novel Unmanned Aerial Vehicle Charging Scheme for Wireless Rechargeable Sensor Networks in an Urban Bus System
2022
Electronics
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This special type of network is named a wireless rechargeable sensor network (WRSN). ...
Wireless sensor networks (WSNs) are implemented in many aspects of daily life, such as Internet of Things applications, industrial automation, and intelligent agriculture. ...
Introduction The wireless rechargeable sensor network (WRSN) [1, 2] , which has a mechanism for self-charging or harvesting energy from the environment [3] (such as solar and wind energy), has an important ...
doi:10.3390/electronics11091464
fatcat:zerd6y2i5bborkuiym6q3sroti
Survey on UAV Communication Network: Performance Parameter
2020
International Journal of Engineering Research and
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that ad hoc mesh network would be most suitable for UAV network. ...
The Unmanned aerial vehicles (UAVs) is deployed efficiently to produce prime quality of service for Internet of Things (IoT). ...
Trajectory
Optimization for
UAVs' Efficient
Charging
in
Wireless
Rechargeable
Sensor Networks
TPA-FCP
Algorithm
and
Polynomial-time
Randomized
Approximation Scheme
is used to solve the ...
doi:10.17577/ijertv9is050785
fatcat:ksifyx2vbneadphktdj75hxuna
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
[article]
2022
arXiv
pre-print
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Ensuring efficient and reliable performance of autonomous power delivery vehicles is very challenging in dynamic environments. ...
recharged energy of devices. ...
The main contributions of this work are summarized below:
• We study energy supply management of sensor nodes in a wireless rechargeable sensor network by deploying an energy constrained power delivery ...
arXiv:2203.04595v1
fatcat:3rx3fisnuvdmflcwelppicj6hm
Table of contents
2021
IEEE Transactions on Green Communications and Networking
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Dini 512 A Reinforcement Learning Approach to Optimize Energy Usage in RF-Charging Sensor Networks . . . . . . H. Ren and K.-W. ...
Popovski 362 Energy and Distance Optimization in Rechargeable Wireless Sensor Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tgcn.2021.3061220
fatcat:vfmlyfiqf5b7nihozu5eah7k54
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions
[article]
2022
arXiv
pre-print
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In this article, we present a comprehensive study of vehicle-assisted wireless rechargeable UAV networks (VWUNs) to promote on-demand, secure, and efficient UAV recharging services. ...
Utilizing wireless mobile chargers, such as vehicles with wireless charging equipment for on-demand self-recharging has been envisioned as a promising solution to address this issue. ...
ACKNOWLEDGEMENT This work was supported in part by NSFC (nos. U20A20175, U1808207), the Fundamental Research Funds for the Central Universities, and JSPS KAKENHI Grant Number 19H04105. ...
arXiv:2203.13139v1
fatcat:5qq2mhehujfzbku27mvzggazaq
Towards enabling unmanned aerial vehicles as a service for heterogeneous applications
2021
Journal of Communications and Networks
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Index Terms-Unmanned Aerial Vehicles (UAVs), Wireless Networks, UAVs as a Service (UaaS). ...
They also include the trajectory planning, possibly several times, between charging stations and deployment locations. ...
Also, with the approval of the FAA, AT&T and Qualcomm have already optimized their LTE networks for UAV communications [6], paving the way for deployments of UAVs in 5G networks. ...
doi:10.23919/jcn.2021.000015
fatcat:tumltjo6mjcizaizzazfn5d3kq
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure
[article]
2021
arXiv
pre-print
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Other Versions
Then, we describe ARAN architecture and its fundamental features for the development of 6G networks. ...
In this context, the use of aerial radio access networks (ARANs) is a promising strategy to complement existing terrestrial communication systems. ...
For instance, the work in [177] examined optimal energy allocation in the context of a wireless sensor network energized by dynamic ABSs using RF wireless charging technology. ...
arXiv:2102.07087v2
fatcat:wbur5jckk5b43lo75dmzlxiiy4
Planning UAV Activities for Efficient User Coverage in Disaster Areas
2019
Ad hoc networks
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2019 pre-print arXiv:1811.12450v2 fatcat:2uj6ik5njrfaxkmchqph572i3mOther Versions
In this paper, we explore the provision of wireless coverage through UAVs (Unmanned Aerial Vehicles) to complement, or replace, the traditional communication infrastructure. ...
The use of UAVs is indeed crucial in emergency scenarios, as they allow for the quick and easy deployment of micro and pico cellular base stations where needed. ...
UAV trajectory optimization A second taxonomy of works deals with the problem of trajectory optimization of UAV-based wireless networks. Zhang et al. ...
doi:10.1016/j.adhoc.2019.04.001
fatcat:lkki56qznjepvoqfrqwozmomf4
D3S: A Framework for Enabling Unmanned AerialVehicles as a Service
[article]
2019
arXiv
pre-print
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In this paper, we consider the use of UAVs to provide wireless connectivity services, for example after failures of wireless network components or to simply provide additional bandwidth on demand, and ...
They also include trajectory planning of UAVs when they have to travel between charging stations and deployment locations and may have to do this several times. ...
Proactive Routing based on Cohesive Swarming and Machine Learning: Unlike conventional wireless ad hoc networks, designing optimal multi-path routing and congestion control algorithms for UAV networks ...
arXiv:2001.00103v1
fatcat:cksixc5su5hmzfo74efacylgve
Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer
[article]
2017
arXiv
pre-print
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Then, we highlight the efficient power control in UAV-supported UDNs by discussing the main design considerations and methods in a comprehensive manner. ...
By means of network densification, ultra dense networks (UDNs) can efficiently broaden the network coverage and enhance the system throughput. ...
Typical applications include wireless sensor networks and IoT where wire charging is unavailable. • UAV as aerial caches: UAVs can be employed as caches to effectively deliver the contents by tracking ...
arXiv:1712.05004v1
fatcat:eautyghep5eovc6pf7e3czusd4
A Joint Energy Replenishment and Data Collection Strategy in Heterogeneous Wireless Rechargeable Sensor Networks
2021
Sensors
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In wireless rechargeable sensor networks, mobile vehicles (MVs) combining energy replenishment and data collection are studied extensively. ...
The network lifetime is correlated with the charging order; therefore, we first propose a charging algorithm to find the optimal charging order. ...
Data Availability Statement: Codes of our proposed algorithm is available in the link: https://blog. csdn.net/qq_42031990/article/details/116008390. ...
doi:10.3390/s21092930
pmid:33922068
fatcat:5ncxvg2safexfpo73nkqqipcau
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