# Energy-Efficient Multiple Autonomous Underwater Vehicle Path Planning Scheme in Underwater Sensor Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/energy-efficient-multiple-autonomous-underwater-vehicle-path-planning-scheme-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yangfan Cui,Peibin Zhu,Guowei Lei,Peng Chen,Guangsong Yang |
| Citations | 23 |
| DOI | 10.3390/electronics12153321 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/12/15/3321/pdf?version=1691039987 |
| OpenAlex ID | https://openalex.org/W4385557357 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Guangsong Yang](https://scholariq.org/researchers/guangsong-yang/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## Paper primary topic

- [Underwater Vehicles and Communication Systems](https://scholariq.org/topics/underwater-vehicles-and-communication-systems/)

## Paper topics

- [Underwater Vehicles and Communication Systems](https://scholariq.org/topics/underwater-vehicles-and-communication-systems/)
- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)
- [Energy Efficient Wireless Sensor Networks](https://scholariq.org/topics/energy-efficient-wireless-sensor-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.