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arXiv · 2408.01193

On Game based Distributed Approach for General Multi-agent Optimal Coverage with Application to UAV Networks

Zixin Feng·Wenchao Xue·Yifen Mu·Ming Wei·Bin Meng·Wei Cui
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Abstract

This paper focuses on the optimal coverage problem (OCP) for multi-agent systems with a decentralized optimization mechanism. A game based distributed decision-making method for the multi-agent OCP is proposed to address the high computational costs arising from the large scale of the multi-agent system and to ensure that the game's equilibrium achieves the global performance objective's maximum value. In particular, a distributed algorithm that needs only local information is developed and proved to converge to near-optimal global coverage. Finally, the proposed method is applied to maximize the coverage area of the UAV network for a target region. The simulation results show that our method can require much less computational time than other typical distributed algorithms in related work, while achieving a faster convergence rate. Comparison with centralized optimization also demonstrates that the proposed method has approximate optimization results and high computation efficiency.

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Zixin Feng, Wenchao Xue, Yifen Mu, Ming Wei, Bin Meng, Wei Cui. 2024-08-02. On Game based Distributed Approach for General Multi-agent Optimal Coverage with Application to UAV Networks. https://arxiv.org/abs/2408.01193

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