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	基于矢量测量的多约束路径选择
	郑彦兴 ; 汪晓庆 ; 田菁 ; ZHENG Yan-Xing ; WANG Xiao-Qing ; TIAN Jing
	2010-06-09 ; 2010-06-09
关键词	多约束路径选择 多目标优化 Pareto最优 前瞻 multiple-constrained path selection multiple objective optimization Pareto optimal look-ahead TP393.02
其他题名	Normal Measure Based Multi-Constrained Path Selection
中文摘要	多约束路径(multi-constrained path,简称MCP)选择问题是QoS路由问题面临的重要挑战之一.现有的MCP算法不能兼顾降低计算复杂性、提高响应速度和防止可行解丢失等方面的缺点.另外,单纯依靠线性路径长度方程(LPLF)或非线性路径长度方程(NLPLF)都不能有效解决QoS路由问题.定义了崭新的法线测量路径长度方程,并基于该方程提出了解决m约束MCP问题的NMMCP(normal measure based MCP)算法.NMMCP不仅是在线计算与预计算,同时也是LPLF与NLPLF的良好折衷.通过引入Pareto最优理论,NMMCP具有非线性前瞻机制.大量仿真实验表明,NMMCP解决MCP问题是非常有效的.; Multi-constrained path (MCP) selection is one of the great challenges that QoS routing (QoSR) faces. Existing algorithms cannot make a good tradeoff among computation complexity, response speed and preventing from losing feasible solutions. Furthermore, neither linear path length function (LPLF) nor non-linear path length function (NLPLF) alone can solve QoS routing problems. A novel normal measure based path length function is defined and based on it, a normal measure based MCP (NMMCP) algorithm is proposed to solve m-constrained MCP problems. NMMCP makes a good tradeoff not only between on-demand computation and pre-computation, but also between LPLF and NLPLF based algorithms. By introducing Pareto optimal mechanism, NMMCP has nonlinear look-ahead ability. Extensive simulations show that NMMCP is very efficient when both performance and computation cost are taken into account.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/55457]
专题	清华大学
推荐引用方式 GB/T 7714	郑彦兴,汪晓庆,田菁,等. 基于矢量测量的多约束路径选择[J],2010, 2010.
APA	郑彦兴,汪晓庆,田菁,ZHENG Yan-Xing,WANG Xiao-Qing,&TIAN Jing.(2010).基于矢量测量的多约束路径选择..
MLA	郑彦兴,et al."基于矢量测量的多约束路径选择".(2010).

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