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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2018

22.01.2018

Optimal Energy Efficiency Distributed Relay Decision in UAV Swarms

verfasst von: Lei Zhu, Changhua Yao, Lei Wang

Erschienen in: Wireless Personal Communications | Ausgabe 4/2018

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Abstract

This paper studies the UAV swarm energy optimization problem. The energy consumption is critical for the UAV swarm, which limited the operating time of the whole system. Cooperative relaying could increase energy efficiency (EE) in UAV swarm communications. Due to UAV swarm’s high dynamism on outside environment and its own inside topology, the central optimization approach may bring extremely high complexity and large control cost. We solve the UAV swarm energy optimization problem by using game theory and distributed learning algorithm. First, we propose a distributed optimal EE UAV relay game model, and prove that the proposed game is an exact potential game. Second, we design a distributed UAV relay decision algorithm to obtain the optimal solution to the UAV swarm energy optimization problem. Finally, simulation results verify the theoretic analysis and show that the proposed approach could achieve optimal EE.
Vorheriger Artikel Pseudo Symmetric Solutions to Two Classes of BVPs
Nächster Artikel The Optimization of Combination Scheme in Cooperative Spectrum Sensing Based on the Practical Reporting Frame Format

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Metadaten
Titel
Optimal Energy Efficiency Distributed Relay Decision in UAV Swarms
verfasst von
Lei Zhu
Changhua Yao
Lei Wang
Publikationsdatum
22.01.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5321-5

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