基于遗传算法的合作编码和缓存数据传播方案在多UAV启用的车辆互联网中.
Ke Xiao1, Jie Hu1, Chunlin Li1
1Department of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
本研究引入了基于编码的合作广播调度 (C2BS) 算法,以提高无人驾驶飞行器 (UAV) 在车辆互联网 (IoV) 系统中的带宽效率,减少数据传播期间的能源消耗.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无人驾驶飞行器 (UAV) 对于在灾区传播数据至关重要,但有限的能源限制了它们的运行寿命.
- 有效的数据传播对于灾后救援行动至关重要,但无人机能源限制带来了重大挑战.
- 在多无人机系统中优化带宽效率是减少能源消耗和提高整体性能的关键.
研究的目的:
- 调查一项用于多无人机启用车辆互联网 (IoV) 的新数据传播方案.
- 通过优化数据传播策略,提高无人机带宽效率并降低能源消耗.
- 通过利用编码和缓存来解决基于编码的合作广播编程 (C2BS) 问题.
主要方法:
- 开发了一个软件定义的基于网络的框架,用于在多个无人机支持的IoV中传播数据.
- 制定了C2BS问题,并使用多项式缩短时间证明了它的NP硬度.
- 一个基于遗传算法的合作调度 (GCS) 算法被提出,结合了编码方案,健身功能和遗传操作员.
主要成果:
- 已经证明C2BS问题是NP-hard.
- 拟议的基于遗传算法的合作调度 (GCS) 算法有效地解决了C2BS问题.
- 模拟结果验证了拟议的数据传播方案的卓越性能.
结论:
- 开发的GCS算法为优化无人机支持的IoV系统中的带宽效率提供了有效的解决方案.
- 拟议的方案大大降低了无人机的能源消耗,提高了数据传播系统的性能.
- 这项研究有助于在灾难响应和 IoV 应用中实现更高效和更可持续的 UAV 操作.
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