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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - 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

Keywords

LoRa
energy harvesting
resource management

Access to Document

10.1109/WCNC51071.2022.9771788

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

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title = "Dynamic LoRa Wireless Networks Powered by Hybrid Energy",

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.",

keywords = "LoRa, energy harvesting, resource management",

author = "Rami Hamdi and Emna Baccour and Aiman Erbad and Marwa Qaraqe and Mounir Hamdi",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 ; Conference date: 10-04-2022 Through 13-04-2022",

year = "2022",

doi = "10.1109/WCNC51071.2022.9771788",

language = "English",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

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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

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 › Conference contribution › peer-review

TY - GEN

T1 - Dynamic LoRa Wireless Networks Powered by Hybrid Energy

AU - Hamdi, Rami

AU - Baccour, Emna

AU - Erbad, Aiman

AU - Qaraqe, Marwa

AU - Hamdi, Mounir

PY - 2022

Y1 - 2022

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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KW - resource management

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M3 - Conference contribution

AN - SCOPUS:85130725842

T3 - IEEE Wireless Communications and Networking Conference, WCNC

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BT - 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Dynamic LoRa Wireless Networks Powered by Hybrid Energy

Abstract

Publication series

Conference

Keywords

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EX-QNRF-NPRPS-38: AI-Based Next Generation Edge Platform for Heterogeneous Services using 5G Technologies

Cite this

Dynamic LoRa Wireless Networks Powered by Hybrid Energy

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

EX-QNRF-NPRPS-38: AI-Based Next Generation Edge Platform for Heterogeneous Services using 5G Technologies

Cite this