Interference-Aware Online Distributed Channel Selection for Multicluster FANET: A Potential Game Approach

The deployment of large-scale UAV clusters for cluster advantages will lead to high competition and excessive congestion of spectrum resources, which results in mutual interference. This paper investigates the interference-aware online spectrum access problem for multicluster Flying Ad-Hoc Network (...

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Published inIEEE transactions on vehicular technology Vol. 68; no. 4; pp. 3792 - 3804
Main Authors Chen, Jiaxin, Xu, Yuhua, Wu, Qihui, Zhang, Yuli, Chen, Xueqiang, Qi, Nan
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Ad hoc networks
Algorithms
Clusters
Communication networks
Computer & video games
Computer simulation
Game theory
Games
Interference
interference-aware online spectrum access
multicluster FANET
Multistage
Network topologies
online distributed algorithm
potential game
Real-time systems
Resource management
Switches
Task analysis
UAV
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Abstract The deployment of large-scale UAV clusters for cluster advantages will lead to high competition and excessive congestion of spectrum resources, which results in mutual interference. This paper investigates the interference-aware online spectrum access problem for multicluster Flying Ad-Hoc Network (FANET) under different network topologies, i.e., the locations of UAV clusters are varying. First, the problem is formulated as a data-assisted multistage channel access game with the goal of mitigating interference of all UAV clusters and decreasing channel switching cost during each slot. As we prove that the game is an exact potential game that guarantees at least one pure-strategy Nash equilibrium and interference-aware online channel preserving based concurrent best response (IOCPCBR) algorithm, an online distributed algorithm is proposed to achieve the desirable solution. Finally, the simulation results demonstrate the validity and effectiveness of the multistage channel access game as well as IOCPCBR algorithm.
AbstractList The deployment of large-scale UAV clusters for cluster advantages will lead to high competition and excessive congestion of spectrum resources, which results in mutual interference. This paper investigates the interference-aware online spectrum access problem for multicluster Flying Ad-Hoc Network (FANET) under different network topologies, i.e., the locations of UAV clusters are varying. First, the problem is formulated as a data-assisted multistage channel access game with the goal of mitigating interference of all UAV clusters and decreasing channel switching cost during each slot. As we prove that the game is an exact potential game that guarantees at least one pure-strategy Nash equilibrium and interference-aware online channel preserving based concurrent best response (IOCPCBR) algorithm, an online distributed algorithm is proposed to achieve the desirable solution. Finally, the simulation results demonstrate the validity and effectiveness of the multistage channel access game as well as IOCPCBR algorithm.
Author Zhang, Yuli
Chen, Jiaxin
Wu, Qihui
Xu, Yuhua
Chen, Xueqiang
Qi, Nan
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Snippet The deployment of large-scale UAV clusters for cluster advantages will lead to high competition and excessive congestion of spectrum resources, which results...
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SubjectTerms Ad hoc networks
Algorithms
Clusters
Communication networks
Computer & video games
Computer simulation
Game theory
Games
Interference
interference-aware online spectrum access
multicluster FANET
Multistage
Network topologies
online distributed algorithm
potential game
Real-time systems
Resource management
Switches
Task analysis
UAV
Title Interference-Aware Online Distributed Channel Selection for Multicluster FANET: A Potential Game Approach
URI https://ieeexplore.ieee.org/document/8654694
https://www.proquest.com/docview/2211107891
Volume 68
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