NDN-Ad Hoc网络中基于多属性决策的可靠转发策略
Reliable forwarding strategy based on multiple attribute decision-making in NDN-Ad Hoc networks
韩江萍 1汪浩东 2杨佳宇 1薛开平 1李健1
作者信息
- 1. 中国科学技术大学网络空间安全学院,安徽 合肥 230027
- 2. 中国科学技术大学信息科学技术学院,安徽 合肥 230027
- 折叠
摘要
为了应对传统自组织网络高度动态拓扑、短寿命连接等特性导致的传输失效问题,基于命名数据网络(NDN)架构,设计了一种联合链路稳定性和内容可达性的可靠转发(RF-LSCA)策略.该策略基于多属性决策方法,综合考虑链路持续时间、节点间距离和内容可达性3个关键属性,从而更加精确地选择最优转发节点,提升了内容传输性能;此外,鉴于单一最优路径可能存在的不稳定性,该策略进一步将决策模型与概率转发思想相结合,设计了兼具低开销与高可靠性的冗余转发机制.这一设计充分利用了NDN的多路径特性,以保障移动环境下的内容传输性能.通过仿真实验验证,所提RF-LSCA在内容获取平均时延、平均跳数、内容满足率等多个关键性能指标上优于现有策略,充分证明了其在提高NDN-Ad Hoc网络传输效率方面的优越性.
Abstract
To address transmission failures in traditional Ad Hoc networks,which was caused by highly dynamic topolo-gies,short-lived connections characteristics,a reliable forwarding strategy based on link stability and content accessibil-ity forwarding(RF-LSCA)based on the named data networking(NDN)architecture was designed.A multi-attribute decision-making method was utilized as the foundation for this strategy,with consideration given to link duration,dis-tances between nodes,and content accessibility.This enabled a more precise selection of the optimal forwarding node,thereby enhancing the content transmission performance.Furthermore,given the potential instability of a single optimal path,the decision model was combined with probabilistic forwarding to design a low-overhead yet highly reliable redun-dant forwarding mechanism.The full exploitation of NDN's multipath characteristics was achieved through this design,thereby ensuring content delivery efficiency in mobile scenarios.Through simulation experiments,the proposed RF-LSCA is demonstrated to outperform existing strategies in key performance metrics,including average content retrieval delay,average hop counts,and content satisfaction rate.These results provide ample evidence of its superiority in en-hancing transmission efficiency within NDN-Ad Hoc networks.
关键词
命名数据网络/转发策略/多属性决策/概率转发Key words
named data networking/forwarding strategy/multiple attribute decision-making/probabilistic forwarding引用本文复制引用
基金项目
国家自然科学基金(62201540)
国家自然科学基金(62302472)
安徽省量子信息技术失导项目(AHY150400)
出版年
2024
国家科技期刊平台
NSTL
万方数据