inis 18(17): e5

Research Article

An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication

Download139 downloads
  • @ARTICLE{10.4108/eai.19-12-2018.156080,
        author={Long D. Nguyen and Ayse Kortun and Trung Q. Duong},
        title={An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={5},
        number={17},
        publisher={EAI},
        journal_a={INIS},
        year={2018},
        month={12},
        keywords={Embedded UAV system, convex optimisation, real-time application, disaster communication},
        doi={10.4108/eai.19-12-2018.156080}
    }
    
  • Long D. Nguyen
    Ayse Kortun
    Trung Q. Duong
    Year: 2018
    An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication
    INIS
    EAI
    DOI: 10.4108/eai.19-12-2018.156080
Long D. Nguyen1,*, Ayse Kortun1, Trung Q. Duong1
  • 1: Queen’s University Belfast, Belfast BT7 1NN, UK
*Contact email: long.nguyen@qub.ac.uk

Abstract

For disaster communications, it is very challenging for the contemporary wireless technology and infrastructure to meet the demands for connectivity. Modern wireless networks should be developed to satisfy the increasing demand of quality-of-service (QoS) in mission-critical communications for disaster management which are currently faced with the challenges of limited spectrum, expensive resources, reliable and green communication. There is a tremendous need for optimisation techniques in the study and design of the key functionalities of wireless systems. Until now, almost current optimisation scenarios are often carried out on large timescales (e.g., minutes or hours) without strict time constraints for solving the problems. With the improvement of computational speed, efficient algorithms and advanced coding approaches, a framwork of real-time optimisation programming, which plays a major role in the trend of modern engineering such as mission-critical communications, is introduced for the first time in this paper in the context of natural disaster. In particular, we propose an introduction of embedded convex optimisation programming for unmanned ariel vehicles (UAVs) communications in disaster networks with the strict supervision of executive time in real-time scenarios.