| 摘要: |
| 对认知无线Mesh 网络中满足QoS 约束的联合组播路由及频谱分配问题进行研究,提出了一个针对该问题的求解框架,包括问题描述、解决方案的表示、适应度函数以及频谱分配算法.基于两种具有代表性的智能计算方法:遗传算法、模拟退火,提出了两种满足端到端延迟约束的组播路由及频谱分配算法GA-MRSA 和SA-MRSA.这两种算法追求的目标是最小化组播树信道冲突总数,并且在获得较低的信道冲突数的情况下,还能占用较少的信道.仿真结果表明,所提出的两种算法能够达到预期目标,获得较低的信道冲突总数. |
| 关键词: 认知无线Mesh 网络 组播 频谱分配 遗传算法 模拟退火 |
| DOI：10.3724/SP.J.1001.2012.04210 |
| 分类号: |
| 基金项目:国家自然科学基金(61073186, 60873082) |
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| Multicast Routing Algorithm with QoS Constraints in Cognitive Wireless Mesh Networks |
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KUANG Zhu-Fang1,2, CHEN Zhi-Gang1
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1.School of Information Science and Engineering, Central South University, Changsha 410083, China;2.School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
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| Abstract: |
| The problem of joining multicast routing and spectrum allocation with QoS constraints is studied in cognitive wireless mesh networks. A framework of solving the above problem, which contains a problem description, a representation of solution, fitness function, spectrum allocation algorithm, is proposed in this paper. Two algorithms for joint multicast routing and a spectrum allocation with end-to-end delay constraints based on intelligent computation are proposed in this paper. The first one is multicast routing and spectrum allocation algorithm based on genetic algorithm (GA-MRSA). The second one is multicast routing and spectrum allocation algorithm based on simulated annealing algorithm (SA-MRSA). The object of the two algorithms is to minimize the total channel conflict. Under the condition of getting lower total channel conflict number, the number of used channels is also few. Simulation results show that the two algorithms can achieve the expected goal: it can achieve a lower total channel conflict number. |
| Key words: cognitive wireless mesh network multicast spectrum allocation genetic algorithm simulated annealing |
