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Journal Article Energy Minimization of Dynamic Multi-UAV Communication Network for Cooperative MultiHop Data Gathering
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Authors
Uihwan Choi, Chaehwan Moon, Jaemyung Ahn
Issue Date
2023-06
Citation
IEEE Transactions on Aerospace and Electronic Systems, v.59, no.3, pp.3082-3099
ISSN
0018-9251
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TAES.2022.3221031
Abstract
This study proposes a minimum-energy operational planning problem for multiple unmanned aerial vehicles (UAVs) conducting a cooperative multi-hop data-gathering mission. A multi-UAV ad-hoc network collects data from multiple sources and transmits them to a ground base station. The proposed mixed-integer nonlinear programming (MINLP) formulation simultaneously determines cooperative task allocation, data gathering schedule, dynamic aerial data flow, and UAV trajectories to minimize operational energy consumption. A hierarchical two-phase solution procedure that decomposes the original problem into a series of less complex problems and solves them efficiently is developed. The effectiveness of the proposed formulation and the solution procedure is demonstrated through numerical experiments and comparison with benchmarking operational schemes.
KSP Keywords
Ad Hoc Networks, Cooperative task allocation, Data Flow, Data gathering, Energy minimization, Ground base station, Minimum energy, Mixed-integer nonlinear programming, Multi-Hop, Multiple Unmanned Aerial Vehicles, Multiple sources