摘要
为提高无线多跳网中视频传输速率的分配效率,提出一种分布式改进对偶算法。针对传统算法对步长参数敏感而导致的收敛速率慢或不收敛等问题,分布式改进对偶算法采用平滑技术,即在拉格朗日函数的基础上加入一个平滑函数,将其平滑化,避免步长调整,以提高收敛速度。仿真结果表明,在视频传输速率的分配方面,与传统对偶次梯度算法相比,该对偶算法的速度更快、效率更高,且随着网络规模的变大,效果更加明显。
In order to improve the allocative efficiency of the video transmission rate in wireless multi-hop networks, an improved distributed dual algorithm is proposed. For the issue of slow convergence or even no convergence caused by parameter sensitivity in dual sub-gradient algorithm, the proposed algorithm applies the smoothing techniques, which smoothes the Lagrange function by adding a smooth function to Lagrange function. By doing so, as the adjustment of the step size is avoided, the convergence performance is improved. Simulation results show that, compared with the traditional algorithm, the improved method is faster in allocating video transmission rate. As networks grow in size, the effect is more pronounced.
出处
《计算机工程》
CAS
CSCD
2014年第7期23-26,共4页
Computer Engineering
基金
国家科技重大专项基金资助项目(2011ZX03002-004-02)
浙江省重大科技专项基金资助重点工业项目(2011C11042)
浙江省新一代移动互联网用户端软件科技创新团队基金资助项目(2010R50009)
浙江省重点科技创新团队基金资助项目(2012R10009-11)
浙江省移动网络应用技术联合重点实验室基金资助项目(2010E10005)
关键词
无线多跳网
视频传输
对偶次梯度算法
分布式改进对偶算法
传输速率
平滑技术
wireless multi-hop networks
video transmission
dual sub-gradient algorithm
distributed improved dual algorithm
transmi-ssion rate
smoothing technique