Dynamic LoRa Wireless Networks Powered by Hybrid Energy

Rami Hamdi; Emna Baccour; Aiman Erbad; Marwa Qaraqe; Mounir Hamdi

doi:10.1109/WCNC51071.2022.9771788

Dynamic LoRa Wireless Networks Powered by Hybrid Energy

Rami Hamdi
, Emna Baccour
, Aiman Erbad
, Marwa Qaraqe
, Mounir Hamdi

Business School

Hamad bin Khalifa University

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

Abstract

In this paper, we investigate an energy-efficient Long Range (LoRa) wireless network powered by hybrid energy which consists of an energy harvesting source and the grid. The grid allows to compensate for the randomness and intermittency of the harvested energy. The aim is to propose a dynamic energy-efficient resource management scheme for LoRa wireless networks that enables green Internet of Things (IoT). Hence, we formulate a grid energy cost minimization problem subject to minimum received signal-to-noise ratio (SNR), and channel, spreading factor (SF) and energy availability constraints. The formulated problem is simplified and decoupled into two sub-problems which allows to derive the optimal resource management solution but with high computational complexity. Then, we propose a low complexity heuristic channel and SF assignment, and energy management algorithm for dynamic LoRa wireless networks. Numerical results shows the efficient use of renewable energy in green dynamic LoRa wireless networks.

Original language	English
Title of host publication	2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	830-835
Number of pages	6
ISBN (Electronic)	9781665442664
DOIs	https://doi.org/10.1109/WCNC51071.2022.9771788
Publication status	Published - 19 May 2022
Event	2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States Duration: 10 Apr 2022 → 13 Apr 2022

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2022-April
ISSN (Print)	1525-3511

Conference

Conference	2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/Territory	United States
City	Austin
Period	10/04/22 → 13/04/22

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was made possible by NPRP-Standard (NPRP-S) Thirteen (13th) Cycle grant # NPRP13S-0205-200265 from the Qatar National Research Fund (QNRF) (a member of Qatar Foundation) and the TÜBITAK—QNRF Joint Funding Program grant (AICC03-0324-200005) from the Scientific and Technological Research Council of Turkey and QNRF. The findings herein reflect the work, and are solely the responsibility, of the authors.

Publisher Copyright:
© 2022 IEEE.

Funding

ACKNOWLEDGMENT This work was made possible by NPRP-Standard (NPRP-S) Thirteen (13th) Cycle grant # NPRP13S-0205-200265 from the Qatar National Research Fund (QNRF) (a member of Qatar Foundation) and the TÜBITAK—QNRF Joint Funding Program grant (AICC03-0324-200005) from the Scientific and Technological Research Council of Turkey and QNRF. The findings herein reflect the work, and are solely the responsibility, of the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

energy harvesting
LoRa
resource management

Access to Document

10.1109/WCNC51071.2022.9771788Licence: Unspecified

Cite this

Hamdi, R., Baccour, E., Erbad, A., Qaraqe, M., & Hamdi, M. (2022). Dynamic LoRa Wireless Networks Powered by Hybrid Energy. In 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 (pp. 830-835). (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2022-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC51071.2022.9771788

Dynamic LoRa Wireless Networks Powered by Hybrid Energy. / Hamdi, Rami; Baccour, Emna; Erbad, Aiman et al.
2022 IEEE Wireless Communications and Networking Conference, WCNC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 830-835 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2022-April).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Hamdi, R, Baccour, E, Erbad, A, Qaraqe, M & Hamdi, M 2022, Dynamic LoRa Wireless Networks Powered by Hybrid Energy. in 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022. IEEE Wireless Communications and Networking Conference, WCNC, vol. 2022-April, Institute of Electrical and Electronics Engineers Inc., pp. 830-835, 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022, Austin, United States, 10/04/22. https://doi.org/10.1109/WCNC51071.2022.9771788

Hamdi R, Baccour E, Erbad A, Qaraqe M, Hamdi M. Dynamic LoRa Wireless Networks Powered by Hybrid Energy. In 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 830-835. (IEEE Wireless Communications and Networking Conference, WCNC). Epub 2022 May 19. doi: 10.1109/WCNC51071.2022.9771788

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abstract = "In this paper, we investigate an energy-efficient Long Range (LoRa) wireless network powered by hybrid energy which consists of an energy harvesting source and the grid. The grid allows to compensate for the randomness and intermittency of the harvested energy. The aim is to propose a dynamic energy-efficient resource management scheme for LoRa wireless networks that enables green Internet of Things (IoT). Hence, we formulate a grid energy cost minimization problem subject to minimum received signal-to-noise ratio (SNR), and channel, spreading factor (SF) and energy availability constraints. The formulated problem is simplified and decoupled into two sub-problems which allows to derive the optimal resource management solution but with high computational complexity. Then, we propose a low complexity heuristic channel and SF assignment, and energy management algorithm for dynamic LoRa wireless networks. Numerical results shows the efficient use of renewable energy in green dynamic LoRa wireless networks.",

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N1 - Funding Information: ACKNOWLEDGMENT This work was made possible by NPRP-Standard (NPRP-S) Thirteen (13th) Cycle grant # NPRP13S-0205-200265 from the Qatar National Research Fund (QNRF) (a member of Qatar Foundation) and the TÜBITAK—QNRF Joint Funding Program grant (AICC03-0324-200005) from the Scientific and Technological Research Council of Turkey and QNRF. The findings herein reflect the work, and are solely the responsibility, of the authors. Publisher Copyright: © 2022 IEEE.

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N2 - In this paper, we investigate an energy-efficient Long Range (LoRa) wireless network powered by hybrid energy which consists of an energy harvesting source and the grid. The grid allows to compensate for the randomness and intermittency of the harvested energy. The aim is to propose a dynamic energy-efficient resource management scheme for LoRa wireless networks that enables green Internet of Things (IoT). Hence, we formulate a grid energy cost minimization problem subject to minimum received signal-to-noise ratio (SNR), and channel, spreading factor (SF) and energy availability constraints. The formulated problem is simplified and decoupled into two sub-problems which allows to derive the optimal resource management solution but with high computational complexity. Then, we propose a low complexity heuristic channel and SF assignment, and energy management algorithm for dynamic LoRa wireless networks. Numerical results shows the efficient use of renewable energy in green dynamic LoRa wireless networks.

AB - In this paper, we investigate an energy-efficient Long Range (LoRa) wireless network powered by hybrid energy which consists of an energy harvesting source and the grid. The grid allows to compensate for the randomness and intermittency of the harvested energy. The aim is to propose a dynamic energy-efficient resource management scheme for LoRa wireless networks that enables green Internet of Things (IoT). Hence, we formulate a grid energy cost minimization problem subject to minimum received signal-to-noise ratio (SNR), and channel, spreading factor (SF) and energy availability constraints. The formulated problem is simplified and decoupled into two sub-problems which allows to derive the optimal resource management solution but with high computational complexity. Then, we propose a low complexity heuristic channel and SF assignment, and energy management algorithm for dynamic LoRa wireless networks. Numerical results shows the efficient use of renewable energy in green dynamic LoRa wireless networks.

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Dynamic LoRa Wireless Networks Powered by Hybrid Energy

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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Cite this