(2026). Optimal Control of Wireless Data and Power Transfer in Energy Harvesting Consumer Networks. IEEE Transactions on Consumer Electronics, 72(2), 3858–3872. https://doi.org/10.1109/tce.2026.3679014
Περίληψη
Wireless power transfer is one of the new technologies promising to revolutionize consumer electronics in the future, especially low-power portable devices. In this paper, we propose optimal control strategies for simultaneous data and energy transfers in energy harvesting wireless networks, focusing on enhancing efficiency and performance in low-power portable devices and IoT applications. We develop an optimization framework for joint energy-data transfers in multihop wireless networks with energy harvesting capabilities in two cases, namely that of orthogonal and non-orthogonal medium access. Devices are assumed to follow half-duplex operation, thereby splitting time into mutually exclusive data and energy transfer phases, ensuring alternating, virtually simultaneous data-energy transfers within time intervals, even with low-cost consumer electronics. Distributed algorithms are proposed for congestion control, routing, power control, and time-splitting decisions. Both cases are formulated as non-convex optimization problems, which are demonstrated to have zero duality gap, therefore enabling the use of dual-based solution methods. Numerical evaluations show that the proposed algorithms outperform other schemes (e.g., those without power control or energy transfer) in terms of higher source rates (almost double for most nodes), efficient energy consumption, and extending network lifetime. Their efficacy is also depicted in realistic and frequently encountered scenarios in consumer electronics, characterized by non-uniform energy harvesting, as well as dynamically changing topologies. The results demonstrate the applicability of the proposed framework in real-world scenarios, particularly for IoT and low-power consumer electronics networks.
- DOI
- 10.1109/tce.2026.3679014
- Τύπος
- Άρθρο σε Περιοδικό
- Έτος
- 2026
Σύνδεσμοι
BibTeX
@article{kallitsis2026optimal,
title = {Optimal Control of Wireless Data and Power Transfer in Energy Harvesting Consumer Networks},
author = {Georgios Kallitsis and Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},
url = {https://doi.org/10.1109/tce.2026.3679014},
doi = {10.1109/tce.2026.3679014},
year = {2026},
date = {2026-01-01},
journal = {IEEE Transactions on Consumer Electronics},
volume = {72},
number = {2},
pages = {3858–3872},
publisher = {Institute of Electrical and Electronics Engineers},
abstract = {Wireless power transfer is one of the new technologies promising to revolutionize consumer electronics in the future, especially low-power portable devices. In this paper, we propose optimal control strategies for simultaneous data and energy transfers in energy harvesting wireless networks, focusing on enhancing efficiency and performance in low-power portable devices and IoT applications. We develop an optimization framework for joint energy-data transfers in multihop wireless networks with energy harvesting capabilities in two cases, namely that of orthogonal and non-orthogonal medium access. Devices are assumed to follow half-duplex operation, thereby splitting time into mutually exclusive data and energy transfer phases, ensuring alternating, virtually simultaneous data-energy transfers within time intervals, even with low-cost consumer electronics. Distributed algorithms are proposed for congestion control, routing, power control, and time-splitting decisions. Both cases are formulated as non-convex optimization problems, which are demonstrated to have zero duality gap, therefore enabling the use of dual-based solution methods. Numerical evaluations show that the proposed algorithms outperform other schemes (e.g., those without power control or energy transfer) in terms of higher source rates (almost double for most nodes), efficient energy consumption, and extending network lifetime. Their efficacy is also depicted in realistic and frequently encountered scenarios in consumer electronics, characterized by non-uniform energy harvesting, as well as dynamically changing topologies. The results demonstrate the applicability of the proposed framework in real-world scenarios, particularly for IoT and low-power consumer electronics networks.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}