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多跳中继无线网络资源复用的建模及算法设计
引用本文:郭欣,马文超,郭子华,侯紫峰.多跳中继无线网络资源复用的建模及算法设计[J].软件学报,2009,20(2):425-436.
作者姓名:郭欣  马文超  郭子华  侯紫峰
作者单位:1. 中国科学技术大学,计算机科学与技术系,安徽,合肥,230027
2. 联想研究院,北京,100085
3. 联想研究院,北京,100085;中国科学院,计算技术研究所,北京,100190
基金项目:Supported by the National Natural Science Foundation of China under Grant No.90604029 (国家自然科学基金); the National Basic Research Program of China under Grant No.2003CB314801 (国家重点基础研究发展计划(973))
摘    要:建立了中继网络资源复用问题的图论模型,依据该模型设计了自适应资源复用调度算法ARRS(adaptive resource reuse scheduling),以提高中继网络资源利用率.由于ARRS算法的核心步骤涉及顶加权图G(V,E,W)的染色,是NP-hard问题,为此给出了求解最优资源复用约束的顶加权图染色的近似算法ARRS_Greedy.该算法被证明具有时间复杂度O(|V|2),近似比为?(Δ+1)/2?(Δ表示图G顶点度数的最大值).该近似比是紧的.仿真分析验证了近似算法ARRS_Greedy在应用中取得了与最优解非常接近的性能,证明了ARRS算法能够动态适应网络状态变化,因而与现有算法相比大幅度提高了系统容量.

关 键 词:多跳中继  资源复用  图论模型  调度算法  近似算法
收稿时间:2007/7/16 0:00:00
修稿时间:9/6/2007 12:00:00 AM

Modeling and Algorithm Designing of Resource Reuse for Multihop Relay Wireless Network
GUO Xin,MA Wen-Chao,GUO Zi-Hua and HOU Zi-Feng.Modeling and Algorithm Designing of Resource Reuse for Multihop Relay Wireless Network[J].Journal of Software,2009,20(2):425-436.
Authors:GUO Xin  MA Wen-Chao  GUO Zi-Hua and HOU Zi-Feng
Affiliation:1+;2;3;Department of Computer Science and Technology;University of Science and Technology of China;Hefei 230027;China;Lenovo Corporate Research & Development;Beijing 100085;China;Institute of Computing Technology;The Chinese Academy of Sciences;Beijing 100190;China
Abstract:Two methods are presented to calculate the lower bound and upper bound on the bisection width of H-Torus topology. These two methods can also be applied to the 2D Torus topology. A method is presented to calculate the exact bisection width for H-Torus too. But this method has unacceptable complexity and can only be accepted with small scale. It is shown that H-Torus topology has larger bisection width. Regarding precision, the lower bound and upper bound introduced in this paper are greatly improved. This result strongly supports the design of scalable routers.
Keywords:multihop relay  resource reuse  graph theory model  scheduling algorithm  approximation algorithm
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