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Energy-Efficient Topology Control for UAV Networks
Author(s) -
Seongjoon Park,
Hyeong Tae Kim,
Hwangnam Kim
Publication year - 2019
Publication title -
energies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.598
H-Index - 93
ISSN - 1996-1073
DOI - 10.3390/en12234523
Subject(s) - network topology , computer science , efficient energy use , overhead (engineering) , topology (electrical circuits) , distributed computing , scheme (mathematics) , controller (irrigation) , hierarchy , energy (signal processing) , computer network , engineering , mathematical analysis , agronomy , statistics , mathematics , economics , electrical engineering , market economy , biology , operating system
Following striking developments in Unmanned Aerial Vehicle (UAV) technology, the use of UAVs has been researched in various industrial fields. Furthermore, a number of studies on operating multiple autonomous networking UAVs suggest a potential to use UAVs in large-scale environments. To achieve efficiency of performance in multi-UAV operations, it is essential to consider a variety of factors in UAV network conditions, such as energy efficiency, network overhead, and so on. In this paper, we propose a novel scheme that improves the energy efficiency and network throughputs by controlling the topology of the network. Our proposed network topology control scheme functions between the data link layer (L3) and the network layer (L2). Accordingly, it can be considered to be layer 2.5 in the network hierarchy model. In addition, our methodology includes swarm intelligence, meaning that whole topology control can be generated with less cost and effort, and without a centralized controller. Our experimental results confirm the notable performance of our proposed method compared to previous approaches.

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