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Energy-Efficient Associations for IoT networks with UAV: A Regret Matching Based Approach

Authors:

Abdellatif Kobbane,

Khalid Chougdali,

Jalel Ben-OthmanAuthors Info & Claims

ICICM '19: Proceedings of the 9th International Conference on Information Communication and Management

Pages 132 - 136

https://doi.org/10.1145/3357419.3357455

Published: 23 August 2019 Publication History

Abstract

Energy-Efficiency (EE) is an important issue in the IoT system. Unmanned Aerial Vehicles (UAVs) have been used as aggregators to collect data from IoT ground devices, and provide an energy-efficient and cost-effective solution. In this paper, we aim at maximizing the overall EE of the IoT network, by finding to most suitable IoT-UAV association. We formulate the problem as a non-cooperative game where IoT players choose the UAVs that minimize their transmit power by learning their best strategy using an approach based on regret-matching learning. Simulations results show a fast convergence to an optimal solution that provides a low average total transmit power and maximizes the IoT system's overall EE.

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Cited By

Martinez Rosabal OLopez OPerez DShehab MHilleshein HAlves H(2022)Minimization of the Worst Case Average Energy Consumption in UAV-Assisted IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2022.31504199:17(15827-15838)Online publication date: 1-Sep-2022
https://doi.org/10.1109/JIOT.2022.3150419
Al-Ahmed SAhmed TZhu YMalaolu OShakir M(2020)UAV-Enabled IoT Networks: Architecture, Opportunities, and ChallengesWireless Networks and Industrial IoT10.1007/978-3-030-51473-0_14(263-288)Online publication date: 12-Dec-2020
https://doi.org/10.1007/978-3-030-51473-0_14

Index Terms

Energy-Efficient Associations for IoT networks with UAV: A Regret Matching Based Approach
1. Networks
  1. Network performance evaluation
    1. Network performance analysis

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cover image ACM Other conferences

ICICM '19: Proceedings of the 9th International Conference on Information Communication and Management

August 2019

210 pages

ISBN:9781450371889

DOI:10.1145/3357419

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Chinese Academy of Sciences

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2019

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ICICM 2019

ICICM 2019: The 9th International Conference on Information Communication and Management

August 23 - 26, 2019

Prague, Czech Republic

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Cited By

Martinez Rosabal OLopez OPerez DShehab MHilleshein HAlves H(2022)Minimization of the Worst Case Average Energy Consumption in UAV-Assisted IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2022.31504199:17(15827-15838)Online publication date: 1-Sep-2022
https://doi.org/10.1109/JIOT.2022.3150419
Al-Ahmed SAhmed TZhu YMalaolu OShakir M(2020)UAV-Enabled IoT Networks: Architecture, Opportunities, and ChallengesWireless Networks and Industrial IoT10.1007/978-3-030-51473-0_14(263-288)Online publication date: 12-Dec-2020
https://doi.org/10.1007/978-3-030-51473-0_14

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