环境意识的自适应强化基于学习的车辆特设网络路由
Yi Jiang1, Jinlin Zhu1, Kexin Yang1
1Department of Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
本研究介绍了针对车辆特设网络 (VANET) 的环境意识的自适应强化路由 (EARR) 协议. 通过使用强化学习来根据环境因素调整路线决策,EARR提高了智能交通系统的可靠通信.
科学领域:
- 智能运输系统 智能运输系统
- 无线通信网络 无线通信网络
- 网络路由协议 网络路由协议
背景情况:
- 车辆特设网络 (VANETs) 面临着由于高车辆流动性和复杂的城市环境而面临的路由挑战.
- 传统的基于拓的路由不适合动态VANET,导致偏好基于位置的路由.
- 道争端和城市结构使VANET中的无线通信复杂化,要求强大的路由解决方案.
研究的目的:
- 为VANETs提出一个新的环境意识的自适应强化路由 (EARR) 协议.
- 提高智能运输系统中通信的可靠性和效率.
- 为了应对诸如高动态,影子色和VANET中的有限带宽等挑战.
主要方法:
- EARR协议使用周期性信标来收集环境数据并构建局部拓.
- 强化学习用于根据感知指标 (速度,带宽,信号强度) 调整路由决策.
- 该协议优化下一跳选择,以形成次优端到端路由,并处理链路中断.
主要成果:
- 与现有的路由协议相比,EARR协议在性能指标方面取得了显著的改进.
- 在各种模拟场景中保持了一致的高数据包交付率和吞吐量.
- 该协议表现出稳定的性能,相对一致的标准化延迟和低的开销.
结论:
- 在动态的VANET环境中,EARR协议有效地提高了通信可靠性.
- 强化学习集成允许自适应路由,提高网络性能.
- 在智能运输系统中,EARR为稳健的路由提供了一个有前途的解决方案.
相关概念视频
Rolling Resistance: Problem Solving
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
Observational Learning
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...


