Energy-Efficient Topology Control for UAV Networks

Author:

Park SeongjoonORCID,Kim Hyeong TaeORCID,Kim HwangnamORCID

Abstract

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.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Reference25 articles.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Topology Control Strategy for Heterogeneous Multichannel Data LinkNetworks;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21

2. Topology Control of an Unmanned Aerial Vehicle in 3D Network;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

3. Deployment Method with Connectivity for Drone Communication Networks;Drones;2023-06-07

4. Swarm of UAVs for Network Management in 6G: A Technical Review;IEEE Transactions on Network and Service Management;2023-03

5. Reinforcement Learning Based Topology Control for UAV Networks;Sensors;2023-01-13

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