基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
The technology of QoS routing has become a great challenge in Wireless Mesh Networks (WMNs). There exist a lot of literatures on QoS routing in WMNs, but the current algorithms have some deficiencies, such as high complexity, poor scalability and flexibility. To solve the problems above, a multipath routing algorithm based on traffic prediction (MRATP) is proposed in WMNs. MRATP consists of three modules including an algo-rithm on multipath routing built, a congestion discovery mechanism based on wavelet-neural network and a load balancing algorithm via multipath. Simulation results show that MRATP has some characteristics, such as better scalability, flexibility and robustness. Compared with the current algorithms, MRATP has higher success ratio, lower end to end delay and overhead. So MRATP can guarantee the end to end QoS of WMNs.
推荐文章
Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning mode
Landslide susceptibility mapping
Statistical model
Machine learning model
Four cases
基于时延约束的无线Mesh网络信道容量分析模型
无线Mesh网络
跨层优化
信道容量
对偶分解法
Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared sp
Heavy metal
Band extraction
Partial least squares regression
Extreme learning machine
Near infrared spectroscopy
一种基于Wormhole Routing的寻径技术
蛀孔寻径技术
先锋寻径技术
微片
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 A Multipath Routing Algorithm Based on Traffic Prediction in Wireless Mesh Networks
来源期刊 通讯与网络(英文) 学科 工学
关键词 Wireless MESH Networks NON-LINEAR TRAFFIC Prediction Model MULTIPATH ROUTING QoS
年,卷(期) 2009,(2) 所属期刊栏目
研究方向 页码范围 82-90
页数 9页 分类号 TN92
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2009(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
Wireless
MESH
Networks
NON-LINEAR
TRAFFIC
Prediction
Model
MULTIPATH
ROUTING
QoS
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
通讯与网络(英文)
季刊
1949-2421
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
427
总下载数(次)
0
总被引数(次)
0
论文1v1指导