University of Oulu

N. H. Motlagh, M. Bagaa and T. Taleb, "Energy and Delay Aware Task Assignment Mechanism for UAV-Based IoT Platform," in IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6523-6536, Aug. 2019. doi: 10.1109/JIOT.2019.2907873

Energy and delay aware task assignment mechanism for UAV-based IoT platform

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Author: Motlagh, Naser Hossein1; Bagaa, Miloud1; Taleb, Tarik1,2,3
Organizations: 1Department of Communications and Networking, Aalto University, Espoo, Finland
2Center for Wireless Communications, Oulu University, Oulu, Finland
3Sejong University, Seoul, Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 4.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-09-18


Unmanned aerial vehicles (UAVs) are gaining much momentum due to the vast number of their applications. In addition to their original missions, UAVs can be used simultaneously for offering value added Internet of Things services (VAIoTS) from the sky. VAIoTS can be achieved by equipping UAVs with suitable Internet of Things (IoT) payloads and organizing UAVs’ flights using a central system orchestrator (SO). SO holds the complete information about UAVs, such as their current positions, their amount of energy, their intended use-cases or flight missions, and their onboard IoT device(s). To ensure efficient VAIoTSs, there is a need for developing a smart mechanism that would be executed at the SO in order to take into account two major factors: 1) the UAVs’ energy consumption and 2) the UAVs’ operation time. To effectively implement this mechanism, this paper presents three complementary solutions, named energy aware UAV selection (EAUS), delay aware UAV selection (DAUS), and fair tradeoff UAV selection (FTUS), respectively. These solutions use linear integer problem (LIP) optimizations. While the EAUS solution aims to reduce the energy consumption of UAVs, the DAUS solution aims to reduce the operational time of UAVs. Meanwhile, FTUS uses a bargaining game to ensure a fair tradeoff between the energy consumption and the operation time. The results obtained from the performance evaluations demonstrate the efficiency and the robustness of the proposed schemes. Each solution demonstrates its efficiency at achieving its planned goals.

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Series: IEEE internet of things journal
ISSN: 2372-2541
ISSN-E: 2327-4662
ISSN-L: 2327-4662
Volume: 6
Issue: 4
Pages: 6523 - 6536
DOI: 10.1109/JIOT.2019.2907873
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is partially supported by the 6G Flagship with grant agreement No. 318927, and by the European Union’s Horizon 2020 research and innovation program under the Primo-5G project with grant agreement No.815191. It is also supported in part by the Academy of Finland under CSN project with grant No. 311654.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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