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Author

Cheng Li

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Open access Sep 2026

Coverage Control for Underwater Acoustic Mobile Sensor Networks with Connectivity and Energy Constraints Based on Multi-Agent Deep Reinforcement Learning

Results validate that the proposed hierarchical architecture effectively mitigates the exploration burden, prevents topology fragmentation, and enables robust, energy-efficient cooperative coverage in underwater acoustic mobile sensor networks.

Jun-Feng Liu, Ming-Ru Dong, Yong-Tao Hu et al. · 0 citations
2026

An Option-Based Hierarchical Approach for Dynamic Mobile Crowdsensing Over Edge-Assisted UAV Networks

With the rapid advancement of edge computing and uncrewed aerial vehicle (UAV) technologies, edge-assisted UAV networks have emerged as a promising solution for efficient data collection in mobile crowdsensing (MCS). This paper addresses the problem of decentralized dynamic data collection in UAV networks supported by...

Liyuan Deng, Wei Gong, Minghui Liwang et al. · 0 citations

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