Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR

Anas S. Mohammed; Omar Khalifa; Ali Alhejab; Abdelrahman S. Abdelrahman; Ahmed Al-Radhwan; Hesham Elsawy; Nour Kouzayha; Noha Al-Harthi; Jaafar Elmirghani; Mansoor Hanif; Tareq Y. Al-Naffouri

doi:10.1109/BlackSeaCom58138.2023.10299765

Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR

Anas S. Mohammed, Omar Khalifa, Ali Alhejab, Abdelrahman S. Abdelrahman, Ahmed Al-Radhwan, Hesham Elsawy, Nour Kouzayha, Noha Al-Harthi, Jaafar Elmirghani, Mansoor Hanif, Tareq Y. Al-Naffouri

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

1 Scopus citations

Abstract

Unmanned aerial vehicles (UAVs) are promoted as efficient enablers for aerial data collection in massive Internet of Things (IoT) networks. In this paper, we develop a UAV-assisted energy-efficient system using the wake-up radio (WuR) technology for on-demand data collection in IoT networks. By leveraging the WuR technology, the IoT devices always operate in low-power sleep mode and only enter the active state to sense and send data when prompted by an external wake-up call (WuC) from the UAV. The developed solution is expected to reduce the energy consumption of IoT devices in hard-to-reach places, thus maintaining a more sustainable operation of the overall network.

Original language	English (US)
Title of host publication	2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	147-149
Number of pages	3
ISBN (Electronic)	9798350337822
DOIs	https://doi.org/10.1109/BlackSeaCom58138.2023.10299765
State	Published - 2023
Event	2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 - Istanbul, Turkey Duration: Jul 4 2023 → Jul 7 2023

Publication series

Name	2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

Conference

Conference	2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023
Country/Territory	Turkey
City	Istanbul
Period	07/4/23 → 07/7/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Aerial Communication
Internet of Things (IoT)
Unmanned Aerial Vehicle (UAV)
Wake Up Radio (WuR)

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Media Technology

UN SDGs

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

Access to Document

10.1109/BlackSeaCom58138.2023.10299765

Cite this

Mohammed, A. S., Khalifa, O., Alhejab, A., Abdelrahman, A. S., Al-Radhwan, A., Elsawy, H., Kouzayha, N., Al-Harthi, N., Elmirghani, J., Hanif, M., & Al-Naffouri, T. Y. (2023). Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. In 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 (pp. 147-149). (2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BlackSeaCom58138.2023.10299765

Mohammed, Anas S. ; Khalifa, Omar ; Alhejab, Ali et al. / Demo Abstract : Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 147-149 (2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023).

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abstract = "Unmanned aerial vehicles (UAVs) are promoted as efficient enablers for aerial data collection in massive Internet of Things (IoT) networks. In this paper, we develop a UAV-assisted energy-efficient system using the wake-up radio (WuR) technology for on-demand data collection in IoT networks. By leveraging the WuR technology, the IoT devices always operate in low-power sleep mode and only enter the active state to sense and send data when prompted by an external wake-up call (WuC) from the UAV. The developed solution is expected to reduce the energy consumption of IoT devices in hard-to-reach places, thus maintaining a more sustainable operation of the overall network.",

keywords = "Aerial Communication, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), Wake Up Radio (WuR)",

author = "Mohammed, {Anas S.} and Omar Khalifa and Ali Alhejab and Abdelrahman, {Abdelrahman S.} and Ahmed Al-Radhwan and Hesham Elsawy and Nour Kouzayha and Noha Al-Harthi and Jaafar Elmirghani and Mansoor Hanif and Al-Naffouri, {Tareq Y.}",

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year = "2023",

doi = "10.1109/BlackSeaCom58138.2023.10299765",

language = "English (US)",

series = "2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023",

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Mohammed, AS, Khalifa, O, Alhejab, A, Abdelrahman, AS, Al-Radhwan, A, Elsawy, H, Kouzayha, N, Al-Harthi, N, Elmirghani, J, Hanif, M & Al-Naffouri, TY 2023, Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. in 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023. 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023, Institute of Electrical and Electronics Engineers Inc., pp. 147-149, 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023, Istanbul, Turkey, 07/4/23. https://doi.org/10.1109/BlackSeaCom58138.2023.10299765

Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. / Mohammed, Anas S.; Khalifa, Omar; Alhejab, Ali et al.
2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 147-149 (2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023).

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

TY - GEN

T1 - Demo Abstract

T2 - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

AU - Mohammed, Anas S.

AU - Khalifa, Omar

AU - Alhejab, Ali

AU - Abdelrahman, Abdelrahman S.

AU - Al-Radhwan, Ahmed

AU - Elsawy, Hesham

AU - Kouzayha, Nour

AU - Al-Harthi, Noha

AU - Elmirghani, Jaafar

AU - Hanif, Mansoor

AU - Al-Naffouri, Tareq Y.

PY - 2023

Y1 - 2023

N2 - Unmanned aerial vehicles (UAVs) are promoted as efficient enablers for aerial data collection in massive Internet of Things (IoT) networks. In this paper, we develop a UAV-assisted energy-efficient system using the wake-up radio (WuR) technology for on-demand data collection in IoT networks. By leveraging the WuR technology, the IoT devices always operate in low-power sleep mode and only enter the active state to sense and send data when prompted by an external wake-up call (WuC) from the UAV. The developed solution is expected to reduce the energy consumption of IoT devices in hard-to-reach places, thus maintaining a more sustainable operation of the overall network.

AB - Unmanned aerial vehicles (UAVs) are promoted as efficient enablers for aerial data collection in massive Internet of Things (IoT) networks. In this paper, we develop a UAV-assisted energy-efficient system using the wake-up radio (WuR) technology for on-demand data collection in IoT networks. By leveraging the WuR technology, the IoT devices always operate in low-power sleep mode and only enter the active state to sense and send data when prompted by an external wake-up call (WuC) from the UAV. The developed solution is expected to reduce the energy consumption of IoT devices in hard-to-reach places, thus maintaining a more sustainable operation of the overall network.

KW - Aerial Communication

KW - Internet of Things (IoT)

KW - Unmanned Aerial Vehicle (UAV)

KW - Wake Up Radio (WuR)

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DO - 10.1109/BlackSeaCom58138.2023.10299765

M3 - Conference contribution

AN - SCOPUS:85179013386

T3 - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

SP - 147

EP - 149

BT - 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 July 2023 through 7 July 2023

ER -

Mohammed AS, Khalifa O, Alhejab A, Abdelrahman AS, Al-Radhwan A, Elsawy H et al. Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. In 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 147-149. (2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023). doi: 10.1109/BlackSeaCom58138.2023.10299765

Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this