MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments

Michael R. Jones; Soufiene Djahel; Kristopher Welsh

doi:10.1109/CCNC49033.2022.9700551

MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments

Michael R. Jones, Soufiene Djahel, Kristopher Welsh

Manchester Metropolitan University

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

6 Citations (Scopus)

Abstract

This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.

Original language	English
Title of host publication	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	457-460
Number of pages	4
ISBN (Electronic)	9781665431613
ISBN (Print)	9781665431620
DOIs	https://doi.org/10.1109/CCNC49033.2022.9700551
Publication status	Published - 10 Feb 2022
Externally published	Yes
Event	19th IEEE Annual Consumer Communications and Networking Conference - Virtual, Online, United States Duration: 8 Jan 2022 → 11 Jan 2022 Conference number: 19

Publication series

Name	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
Publisher	IEEE
ISSN (Print)	2331-9852
ISSN (Electronic)	2331-9860

Conference

Conference	19th IEEE Annual Consumer Communications and Networking Conference
Abbreviated title	CCNC 2022
Country/Territory	United States
City	Virtual, Online
Period	8/01/22 → 11/01/22

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/CCNC49033.2022.9700551Licence: Unspecified

Cite this

Jones, M. R., Djahel, S., & Welsh, K. (2022). MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (pp. 457-460). Article 9700551 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC49033.2022.9700551

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title = "MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments",

abstract = "This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.",

keywords = "Path Planning, Q-learning, UAVs",

author = "Jones, \{Michael R.\} and Soufiene Djahel and Kristopher Welsh",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 ; Conference date: 08-01-2022 Through 11-01-2022",

year = "2022",

month = feb,

day = "10",

doi = "10.1109/CCNC49033.2022.9700551",

language = "English",

isbn = "9781665431620",

series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "457--460",

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Jones, MR, Djahel, S & Welsh, K 2022, MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments. in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)., 9700551, Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, Institute of Electrical and Electronics Engineers Inc., pp. 457-460, 19th IEEE Annual Consumer Communications and Networking Conference, Virtual, Online, United States, 8/01/22. https://doi.org/10.1109/CCNC49033.2022.9700551

MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments. / Jones, Michael R.; Djahel, Soufiene; Welsh, Kristopher.
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc., 2022. p. 457-460 9700551 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC).

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

TY - GEN

T1 - MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments

AU - Jones, Michael R.

AU - Djahel, Soufiene

AU - Welsh, Kristopher

N1 - Conference code: 19

PY - 2022/2/10

Y1 - 2022/2/10

N2 - This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.

AB - This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.

KW - Path Planning

KW - Q-learning

KW - UAVs

UR - https://www.scopus.com/pages/publications/85135731042

U2 - 10.1109/CCNC49033.2022.9700551

DO - 10.1109/CCNC49033.2022.9700551

M3 - Conference contribution

AN - SCOPUS:85135731042

SN - 9781665431620

T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

SP - 457

EP - 460

BT - 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE Annual Consumer Communications and Networking Conference

Y2 - 8 January 2022 through 11 January 2022

ER -

Jones MR, Djahel S, Welsh K. MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc. 2022. p. 457-460. 9700551. (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). doi: 10.1109/CCNC49033.2022.9700551

MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments

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