On the optimal deployment of power beacons for massive wireless energy transfer |
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Author: | Rosabal, Osmel Martínez1; Alcaraz López, Onel L.1; Alves, Hirley1; |
Organizations: |
1Centre of wireless Communications (CWC), University of Oulu, Finland 2Programa Institucional de Fomento a la I+D+i, Universidad Tecnológica Metropolitana, Santiago 8940577, Chile |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202103056640 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2021
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Publish Date: | 2021-03-05 |
Description: |
AbstractWireless 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. see all
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Series: |
IEEE internet of things journal |
ISSN: | 2372-2541 |
ISSN-E: | 2327-4662 |
ISSN-L: | 2327-4662 |
Volume: | 8 |
Issue: | 13 |
Pages: | 10531 - 10542 |
DOI: | 10.1109/JIOT.2020.3048065 |
OADOI: | https://oadoi.org/10.1109/JIOT.2020.3048065 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research has been financially supported by Academy of Finland, 6Genesis Flagship (Grant n.318927), EE-IoT (n.319008), Aka Prof (n.307492), as well as FONDECYT Iniciaci´on No. 11200659, FONDECYT Regular No. 1201893, and FONDEQUIP EQM180180. |
Academy of Finland Grant Number: |
318927 319008 307492 |
Detailed Information: |
318927 (Academy of Finland Funding decision) 319008 (Academy of Finland Funding decision) 307492 (Academy of Finland Funding decision) |
Copyright information: |
© 2020 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
https://creativecommons.org/licenses/by/4.0/ |