A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model
文献类型：期刊论文
| 作者 | Jia J(贾杰); Wang XW(王兴伟); Chen J(陈剑) |
| 刊名 | AD HOC NETWORKS
 |
| 出版日期 | 2015 |
| 卷号 | 27页码:57-67 |
| 关键词 | Wireless mesh network Throughput optimization Channel allocation Power control Route selection Genetic algorithm |
| ISSN号 | 1570-8705 |
| 产权排序 | 1 |
| 通讯作者 | 王兴伟 |
| 中文摘要 | Due to the limited spectrum resources and the differences of link loads, how to obtain maximum network throughput through cross-layer design under signal-to-interference-and-noise ratio (SINR) model is recognized as a fundamental but hard problem. For this reason, the throughput maximization problem jointly with power control, channel allocation and routing under SINR model is researched. First, by formulating the optimization model and digging up its special structure, we show that the throughput maximization problem can be decomposed into two sub-problems: a channel allocation and power control sub-problem at the link-physical layer, and a throughput optimization sub-problem at the network layer. As to the link-physical layer sub-problem, since the joint optimization on channel allocation and power control is NP hard, we apply genetic algorithm for searching the optimal solution. As to the network layer sub-problem, we use linear programming technique for throughput optimization. To reflect the interplay property among these three layers, the fitness of each individual in the genetic algorithm is evaluated by solving the network layer sub-problem. Therefore, an effective cross-layer optimization framework based on genetic algorithm is obtained, which can find optimized power control, channel allocation and route selection in polynomial time. In order to enhance the convergence process during evolution, the integer based representation scheme and corresponding genetic operators are well designed with appropriate constraint control mechanisms. Extensive simulation results demonstrate that the proposed scheme obtains higher network throughput compared to the pervious works with comparable computational complexity. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 关键词[WOS] | CHANNEL ASSIGNMENT ; POWER-CONTROL ; ALLOCATION ; ALGORITHMS ; CAPACITY ; GAME |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000349732400004 |
| 源URL | [http://ir.sia.cn/handle/173321/16469]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Jia J,Wang XW,Chen J. A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model[J]. AD HOC NETWORKS,2015,27:57-67. |
| APA | Jia J,Wang XW,&Chen J.(2015).A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model.AD HOC NETWORKS,27,57-67. |
| MLA | Jia J,et al."A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model".AD HOC NETWORKS 27(2015):57-67. |
入库方式： OAI收割
来源：沈阳自动化研究所
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