AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks

Elif Bozkaya; Klaus Tycho Foerster; Stefan Schmid; Berk Canberk

doi:10.1109/TVT.2020.3019918

AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks

Elif Bozkaya^*, Klaus Tycho Foerster, Stefan Schmid, Berk Canberk

^*Corresponding author for this work

Department of Artificial Intelligence and Data Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

Aerial Base Stations (ABSs) promise resilient and perpetual connectivity after unexpected events such as natural disasters. However, the deployment and scheduling of ABSs introduce several algorithmic challenges. In particular, on-demand communication can change over time and be hard to accurately predict, so it needs to be handled in an online manner, accounting also for battery consumption constraints. This paper presents {AirNet}, an efficient software-based solution to operate ABSs which meet these requirements. {AirNet} is based on an efficient placement algorithm for ABSs which maximizes the number of covered users, and a scheduler which navigates and recharges ABSs in an energy-aware manner. To this end, we propose an energy-aware deployment algorithm and use an energy model to analyze the power consumption and thereby, improve the flight endurance. In addition, we evaluate a novel scheduling mechanism that efficiently manages the ABSs' operations. Our simulations indicate that our approach can significantly improve the flight endurance and user coverage compared to a recent state-of-the-art approach.

Original language	English
Article number	9178963
Pages (from-to)	12252-12263
Number of pages	12
Journal	IEEE Transactions on Vehicular Technology
Volume	69
Issue number	10
DOIs	https://doi.org/10.1109/TVT.2020.3019918
Publication status	Published - Oct 2020

Bibliographical note

Publisher Copyright:
© 1967-2012 IEEE.

Funding

Manuscript received March 1, 2020; revised June 4, 2020; accepted August 21, 2020. Date of publication August 27, 2020; date of current version October 22, 2020. This work was supported by The Scientific and Technical Research Council of Turkey (TUBITAK) 1001 The Scientific and Technological Research Projects Funding Program with Project Number 119E434. The work of Elif Bozkaya was supported by the Scientific and Technical Research Council of Turkey (TUBITAK) 2214 International Research Fellowship Programme (for Ph.D. Students). The review of this article was coordinated by Prof. G. Giambene. (Corresponding author: Elif Bozkaya.) Elif Bozkaya is with the Department of Computer Engineering, National Defense University Naval Academy, 34942 Istanbul, Turkey, and also with Istanbul Technical University, 34334 Istanbul, Turkey (e-mail: [email protected]).

Funders	Funder number
TUBITAK	119E434
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Keywords

Aerial base stations
demand-aware deployment
endurance
energy efficiency
hover time

UN SDGs

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

Access to Document

10.1109/TVT.2020.3019918

Cite this

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title = "AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks",

abstract = "Aerial Base Stations (ABSs) promise resilient and perpetual connectivity after unexpected events such as natural disasters. However, the deployment and scheduling of ABSs introduce several algorithmic challenges. In particular, on-demand communication can change over time and be hard to accurately predict, so it needs to be handled in an online manner, accounting also for battery consumption constraints. This paper presents \{AirNet\}, an efficient software-based solution to operate ABSs which meet these requirements. \{AirNet\} is based on an efficient placement algorithm for ABSs which maximizes the number of covered users, and a scheduler which navigates and recharges ABSs in an energy-aware manner. To this end, we propose an energy-aware deployment algorithm and use an energy model to analyze the power consumption and thereby, improve the flight endurance. In addition, we evaluate a novel scheduling mechanism that efficiently manages the ABSs' operations. Our simulations indicate that our approach can significantly improve the flight endurance and user coverage compared to a recent state-of-the-art approach.",

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author = "Elif Bozkaya and Foerster, \{Klaus Tycho\} and Stefan Schmid and Berk Canberk",

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N2 - Aerial Base Stations (ABSs) promise resilient and perpetual connectivity after unexpected events such as natural disasters. However, the deployment and scheduling of ABSs introduce several algorithmic challenges. In particular, on-demand communication can change over time and be hard to accurately predict, so it needs to be handled in an online manner, accounting also for battery consumption constraints. This paper presents {AirNet}, an efficient software-based solution to operate ABSs which meet these requirements. {AirNet} is based on an efficient placement algorithm for ABSs which maximizes the number of covered users, and a scheduler which navigates and recharges ABSs in an energy-aware manner. To this end, we propose an energy-aware deployment algorithm and use an energy model to analyze the power consumption and thereby, improve the flight endurance. In addition, we evaluate a novel scheduling mechanism that efficiently manages the ABSs' operations. Our simulations indicate that our approach can significantly improve the flight endurance and user coverage compared to a recent state-of-the-art approach.

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AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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