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在软件定义的无线传感器网络中使用强化学习的节能路由协议

Daniel Godfrey¹, BeomKyu Suh¹, Byung Hyun Lim¹

¹Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.

Sensors (Basel, Switzerland)

|October 28, 2023

概括

本研究介绍了物联网 (IoT) 网络的新型路由协议,以优化能源效率和网络适应性. 动态目标选择与强化学习 (DOS-RL) 协议提高了动态无线环境中的性能.

科学领域:

计算机科学计算机科学
网络化网络化网络化
无线通信无线通信

背景情况:

物联网 (IoT) 系统面临着异质设备,可靠性和可扩展性的挑战.
现有的软件定义无线传感器网络 (SDWSN) 与物联网集成,与设备能量限制,网络不可预测性和服务质量 (QoS) 斗争.
不有效的路由协议会导致网络断开连接,并且在无线物联网部署中表现不佳.

研究的目的:

为物联网网络开发一个智能,节能,多目标的路由协议.
提高网络适应突然变化的能力,优化能源消耗.
改善整体网络性能,包括数据包交付比率和降低延迟.

主要方法:

实施了一种新的路由协议,即动态目标选择与强化学习 (DOS-RL).
利用强化学习 (RL) 通过动态的目标选择和信息形式的奖励.
进行各种模拟以评估与传统路由方法相比的协议性能.

主要成果:

在无线物联网设备的能源效率方面取得了显著的改进.
展示了快速适应意想不到的网络变化的能力.
与OSPF和SDN-Q相比,提高了数据包交付比率和减少了数据交付延迟.

结论:

拟议的DOS-RL路由方案有效地解决了物联网中的能源限制和网络动态.
DOS-RL为优化异质无线物联网环境中的性能提供了卓越的解决方案.
该协议促进了无适应,减轻了中断,提高了网络可靠性.

关键词:

在 SDWSN-IoT 系统中.节能路由是节能的路由方式.多目的路由多目标路由.强化学习是一种强化学习.

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