2022
Vitoropoulou, M.; Karyotis, V.; Papavassiliou, S.
On the Fair Energy Sharing in Networks with Wireless Charging-capable Devices Conference
vol. 2022-October, IEEE Computer Society, 2022, ISSN: 21619646, (cited By 0; Conference of 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022 ; Conference Date: 10 October 2022 Through 12 October 2022; Conference Code:184410).
Abstract | Links | BibTeX | Tags: Charging (batteries); Energy efficiency; Energy transfer; Inductive power transmission; Linear programming; Peer to peer networks; Secondary batteries, Emerging technologies; Energy allocations; Energy sharings; Energy-balancing; Fairness; In networks; Resource exchange; Reverse wireless charging; Wireless charging; Wireless power, Graph theory
@conference{Vitoropoulou2022375,
title = {On the Fair Energy Sharing in Networks with Wireless Charging-capable Devices},
author = {M. Vitoropoulou and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142721925&doi=10.1109%2fWiMob55322.2022.9941704&partnerID=40&md5=455b20e124f40d5cbe8d019cc7744863},
doi = {10.1109/WiMob55322.2022.9941704},
issn = {21619646},
year = {2022},
date = {2022-01-01},
journal = {International Conference on Wireless and Mobile Computing, Networking and Communications},
volume = {2022-October},
pages = {375-380},
publisher = {IEEE Computer Society},
abstract = {The emerging technology of Wireless Power Trans-fer (WPT) has enabled mobile devices to replenish their batteries and increase their lifetime by exchanging energy with other devices in vicinity. In this paper, we study the problem of peer-to-peer WPT in a network of battery-constrained devices for which we aim to provide a fair energy allocation via mutual exchanges. In this respect, devices of lowest battery level remain functional for longer time, while respecting and satisfying a given set of wireless charging constraints. By taking into consideration the skewed energy availability in the network, as well as the loss induced by wireless energy transfer, we formulate and analyze three energy allocation schemes based on the concepts of lexicographic optimization and algorithmic graph theory, which, under different optimization criteria, aim to extend network lifetime. The performance of the proposed schemes is evaluated and compared in terms of energy efficiency and balancing quality through modeling and simulation over synthetic networks. © 2022 IEEE.},
note = {cited By 0; Conference of 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022 ; Conference Date: 10 October 2022 Through 12 October 2022; Conference Code:184410},
keywords = {Charging (batteries); Energy efficiency; Energy transfer; Inductive power transmission; Linear programming; Peer to peer networks; Secondary batteries, Emerging technologies; Energy allocations; Energy sharings; Energy-balancing; Fairness; In networks; Resource exchange; Reverse wireless charging; Wireless charging; Wireless power, Graph theory},
pubstate = {published},
tppubtype = {conference}
}
The emerging technology of Wireless Power Trans-fer (WPT) has enabled mobile devices to replenish their batteries and increase their lifetime by exchanging energy with other devices in vicinity. In this paper, we study the problem of peer-to-peer WPT in a network of battery-constrained devices for which we aim to provide a fair energy allocation via mutual exchanges. In this respect, devices of lowest battery level remain functional for longer time, while respecting and satisfying a given set of wireless charging constraints. By taking into consideration the skewed energy availability in the network, as well as the loss induced by wireless energy transfer, we formulate and analyze three energy allocation schemes based on the concepts of lexicographic optimization and algorithmic graph theory, which, under different optimization criteria, aim to extend network lifetime. The performance of the proposed schemes is evaluated and compared in terms of energy efficiency and balancing quality through modeling and simulation over synthetic networks. © 2022 IEEE.