Silva, P. E. G., Marchetti, N., Nardelli, P. H. J., & De Souza, R. A. A. (2023). Enabling semantic-functional communications for multiuser event transmissions via wireless power transfer. Sensors, 23(5), 2707. https://doi.org/10.3390/s23052707
Enabling semantic-functional communications for multiuser event transmissions via wireless power transfer
|Author:||Silva, Pedro E. Gória1,2; Marchetti, Nicola3; Nardelli, Pedro H. J.1,4;|
1School of Energy Systems, Lappeenranta–Lahti University of Technology (LUT), 53850 Lappeenranta, Finland
2Department of Electrical Engineering, National Institute of Telecommunications (INATEL), Santa Rita do Sapucaí 37540-000, Brazil
3Connect Centre, Trinity College Dublin, D02 PN40 Dublin, Ireland
46G Flagship, University of Oulu, 90570 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023032733352
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2023-03-27
A central concern for large-scale sensor networks and the Internet of Things (IoT) has been battery capacity and how to recharge it. Recent advances have pointed to a technique capable of collecting energy from radio frequency (RF) waves called radio frequency-based energy harvesting (RF-EH) as a solution for low-power networks where cables or even changing the battery is unfeasible. The technical literature addresses energy harvesting techniques as an isolated block by dealing with energy harvesting apart from the other aspects inherent to the transmitter and receiver. Thus, the energy spent on data transmission cannot be used together to charge the battery and decode information. As an extension to them, we propose here a method that enables the information to be recovered from the battery charge by designing a sensor network operating with a semanticfunctional communication framework. Moreover, we propose an event-driven sensor network in which batteries are recharged by applying the technique RF-EH. In order to evaluate system performance, we investigated event signaling, event detection, empty battery, and signaling success rates, as well as the Age of Information (AoI). We discuss how the main parameters are related to the system behavior based on a representative case study, also discussing the battery charge behavior. Numerical results corroborate the effectiveness of the proposed system.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This paper is partly supported by (1) Academy of Finland via: (a) FIREMAN consortium n.326270 as part of CHIST-ERA grant CHIST-ERA-17-BDSI-003, (b) EnergyNet Fellowship n.321265/n.328869/n.352654, and (c) X-SDEN project n.349965; (2) Jane and Aatos Erkko Foundation via STREAM project; (3) by CNPq (Grant 311470/2021-1); (4) by São Paulo Research Foundation (FAPESP) (Grant No. 2021/06946-0); and (5) by RNP, with resources from MCTIC, Grant No. 01245.010604/2020-14, under the Brazil 6G project of the Radiocommunication Reference Center (Centro de Referência em Radiocomunicações—-CRR) of the National Institute of Telecommunications (Instituto Nacional de Telecomunicações—Inatel), Brazil; (5) It was also supported by the Science Foundation Ireland under grant 13/RC/2077_P2 (CONNECT).
© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).