- Title
- UAV-enabled data acquisition scheme with directional wireless energy transfer for Internet of Things
- Creator
- Liu, Yalin; Dai, Hong-Ning; Wang, Hao; Imran, Muhammad; Wang, Xiaofen; Shoaib, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184418
- Identifier
- vital:16475
- Identifier
-
https://doi.org/10.1016/j.comcom.2020.03.020
- Identifier
- ISBN:0140-3664 (ISSN)
- Abstract
- Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled data acquisition scheme with directional wireless energy transfer (WET) to overcome the limitations of low power IoT. The main idea of the proposed scheme is to employ a UAV to serve as both a data collector and an energy supplier. The UAV first transfers directional wireless energy to an IoT node which then sends back the data packets to the UAV by using the harvested energy. Meanwhile, we minimize the overall energy consumption under conditions of balanced energy supply and limited overall time. Moreover, we derive the optimal values of WET time and data transmission power. After analysing the feasibility of the optimal WET time and data transmission, we design an allocation scheme based on the feasible ranges of data size level and channel-fading degree. The numerical results show the feasibility and adaptability of our allocation scheme against the varied values of multiple system parameters. We further extend our scheme to the multi-node scenario by re-designing energy beamforming and adopting multi-access mechanisms. Moreover, we also analyse the mobility of UAVs in the proposed scheme. © 2020 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Computer Communications Vol. 155, no. (2020), p. 184-196
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2020 Elsevier B.V.
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software; Data acquisition; Internet of Things (IoT); Unmanned Aerial Vehicle (UAV); Wireless Energy Transfer (WET)
- Reviewed
- Funder
- This work was supported in part by the Macao Science and Technology Development Fund under Grant No. 0026/2018/A1 , by the Deanship of Scientific Research at King Saud University through research group project number RG-1435-051 , and by National Natural Science Foundation of China under Grants U1833122
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