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Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
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Altaf Hussain, Tariq Hussain, Inam Ullah, Bahodir Muminov, Muhammad Zubair Khan, Osama Alfarraj and Amr Gafar
This paper proposes a Cooperative-Relay Neighboring-Based Energy-Efficient Routing (CR-NBEER) protocol with advanced relay optimization for MUSN. The utilization of the relay nodes, among all other sensor nodes, makes it possible to achieve node-to-node ...
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Peiyan Yuan, Ming Li, Shuhong Li, Chunhong Liu and Xiaoyan Zhao
Edge networks employ local computing and caching resources to process data, thus alleviating the bandwidth pressure on backbone networks and improve users? quality of experience. System capacity is one of the key metrics to evaluate the performance of ed...
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Okan Asik, Fatma Basak Aydemir and Hüseyin Levent Akin
The number of agents exponentially increases the complexity of a cooperative multi-agent planning problem. Decoupled planning is one of the viable approaches to reduce this complexity. By integrating decoupled planning with Monte Carlo Tree Search, we pr...
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Jian Gong, Weijie Chen and Ziyi Zhou
This paper proposes a distributed coordination scheme for connected vehicles, including automated vehicles (AVs) and manual vehicles (MVs), at signal-free intersections. The cooperation issue of vehicles at an intersection is formulated into a multi-obje...
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