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

• Published in: IEEE 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
• Language: English
• 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
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2019.2902177

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.