.png){kind=icon}
返回
Network tomography application in mobile ad-hoc network using stitching algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jnca.2015.07.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a network tomography (NT) approach is proposed to study network performance in ad-hoc networks. An analysis of network performance is presented in a dynamic MANET. An expectation-maximization (EM) algorithm is used in NT to estimate the network performance parameter in accordance with network performance observations. Over the dynamic network, a new algorithm has been proposed, called the stitching algorithm, to aggregate dynamic performance values for network links. Specifically, the stitching algorithm gives local and global performance parameters such as link delays over specified time periods. Therefore, the network behavior as well as the corresponding local network performance in a mobile network can be derived over a continuous period. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
Mobile network
Ad-hoc network
EM
MLE
Stitching algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8
论文数:
3.6K
被引数:
1.1W
机构
引用论文
Decrease in bacterial production over the past three decades in the north basin of Lake Biwa, Japan.png)
Limnology
LimnologyIF0
PREAI
分享收藏
查看更多内容