Journal
IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume 21, Issue 8, Pages 2861-2875Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TMC.2020.3048480
Keywords
Information exchange; Games; Interference; Unmanned aerial vehicles; Communication networks; Topology; Switches; UAV communication network; formation keeping; information exchange cost; mutual interference; two-way consensus game
Funding
- National Science Foundation of China [61931011, 61827801, 61631020, 61771488, 61801218]
- Postgraduate Research and Practice Innovation Program of Jiangsu Province [KYCX19_0188]
- State Key Laboratory of Air Traffic Management System and Technology [SKLATM201808]
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This paper investigates the communication and control issues in UAV communication networks, specifically considering leader-follower formation. It proposes a two-way consensus game to address the joint channel and link selection problem, and introduces the concept of generalized two-way consensus equilibrium. The paper proves the existence of an optimal solution and proposes algorithms to achieve it. Simulation results confirm the effectiveness of the proposed algorithms.
This paper is the first to investigate both communication and control in traffic channel (TCH) and control channel (CCH) respectively when considering leader-follower formation keeping in UAV communication networks. In this paper, we analyze the relationship between the mutual interference and information exchange cost, and then formulate the joint channel and link selection problem as a two-way consensus game between CCH and TCH. To characterize the two-way choice of link selection, we creatively propose the generalized two-way consensus equilibrium (GTCE) to capture the stable state. Then, we prove that the formulated game has at least one pure-strategy GTCE which can maximize the UAV communication network utility. A distributed better reply based joint channel and link selection (BRJCLS) algorithm as well as two-dimensional minimum spanning tree (MST) based initialization (TMSTI) algorithm is proposed to achieve the GTCE. Simulation results are presented to show the convergence and effectiveness of the formulated two-way consensus game and proposed algorithms.
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