2023
Kallitsis, G.; Karyotis, V.; Papavassiliou, S.
A Joint Wireless Data-Power Exchange Approach for Distributed Energy Harvesting Networks Conference
Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350395389, (cited By 0; Conference of 2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023 ; Conference Date: 6 November 2023 Through 8 November 2023; Conference Code:197830).
Abstract | Links | BibTeX | Tags: Backpressure scheduling; Backpressure scheduling-routing; Distributed energies; Distributed networks; Energy; Energy-transfer; Power exchange; Routings; Wireless data; Wireless energy transfers, Energy harvesting; Energy transfer; Inductive power transmission, Lagrange multipliers
@conference{Kallitsis2023209,
title = {A Joint Wireless Data-Power Exchange Approach for Distributed Energy Harvesting Networks},
author = {G. Kallitsis and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187794022&doi=10.1109%2fCSCN60443.2023.10453207&partnerID=40&md5=013d00ec2a1c7681d6502d149b99035d},
doi = {10.1109/CSCN60443.2023.10453207},
isbn = {9798350395389},
year = {2023},
date = {2023-01-01},
journal = {2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023},
pages = {209-215},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This work addresses the problem of efficient joint wireless data-energy transfer in distributed networks. We consider devices capable of exchanging data and energy wirelessly, aiming at optimal data/energy transfer scheduling. Wireless Power Transfer resembles energy-harvesting but it bears its own peculiarities. We formulate mathematically the evolution of the data queue and battery state of each node according to a back-pressure inspired approach, and define an optimization problem aiming at better energy balancing. We employ a dual Lagrange multiplier solution, and through simulation and analysis, we identify the critical parameters determining the behavior of the system. This is a cornerstone work towards developing a more generic framework within the conceived 6G architecture, and here we demonstrate its theoretical and practical potentials. © 2023 IEEE.},
note = {cited By 0; Conference of 2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023 ; Conference Date: 6 November 2023 Through 8 November 2023; Conference Code:197830},
keywords = {Backpressure scheduling; Backpressure scheduling-routing; Distributed energies; Distributed networks; Energy; Energy-transfer; Power exchange; Routings; Wireless data; Wireless energy transfers, Energy harvesting; Energy transfer; Inductive power transmission, Lagrange multipliers},
pubstate = {published},
tppubtype = {conference}
}
This work addresses the problem of efficient joint wireless data-energy transfer in distributed networks. We consider devices capable of exchanging data and energy wirelessly, aiming at optimal data/energy transfer scheduling. Wireless Power Transfer resembles energy-harvesting but it bears its own peculiarities. We formulate mathematically the evolution of the data queue and battery state of each node according to a back-pressure inspired approach, and define an optimization problem aiming at better energy balancing. We employ a dual Lagrange multiplier solution, and through simulation and analysis, we identify the critical parameters determining the behavior of the system. This is a cornerstone work towards developing a more generic framework within the conceived 6G architecture, and here we demonstrate its theoretical and practical potentials. © 2023 IEEE.