Practical Optimisation of Path Planning and Completion Time of Data Collection for UAV-enabled Disaster Communications

Trung Q Duong, Long D. Nguyen, Loi Kim Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In this work, we propose efficient optimisation methods for embedded relay-assisted unmanned ariel vehicles (UAVs) in wireless sensor networks (WSNs) to cope with the hazardous effect of natural disaster. Particularly, by using advanced optimisation techniques, our low-complexity procedures are suitable applied to internet-of-things (IoT) applications when the execution time is strictly governed in disaster scenarios. Our model considers real-time optimisation in embedded UAV-WSN communication for tracking and gathering sensor data. Our algorithms are low computational complexity with fast deployment and low execution time for solving our problem in milliseconds. Numerical results are shown to demonstrate the benefit of our proposed approaches for UAV-WSN.
Original languageEnglish
Title of host publication 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC): Proceedings
Publisher IEEE
Pages372-377
Number of pages6
DOIs
Publication statusPublished - 22 Jul 2019
Event15th International Wireless Communications & Mobile Computing Conference (IWCMC) - Tangier, Morocco
Duration: 24 Jun 201928 Jul 2019

Publication series

NameInternational Wireless Communications & Mobile Computing Conference (IWCMC): Proceedings
ISSN (Print)2376-6492
ISSN (Electronic)2376-6506

Conference

Conference15th International Wireless Communications & Mobile Computing Conference (IWCMC)
CountryMorocco
CityTangier
Period24/06/201928/07/2019

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