On throughput capacity of large-scale ad hoc networks with realistic buffer constraint
On throughput capacity of large-scale ad hoc networks with realistic buffer constraint
复制标题
具有现实缓冲区约束的大规模自组织网络的吞吐能力
DOI：
10.1007/s11276-015-1146-2
复制
发表时间：
2017
影响因子：
3
通讯作者：
Xiaohong Jiang
中科院分区：
文献类型：
--
作者：
Yang Xu;Jia Liu;Yulong Shen;Xiangning Li;Xiaohong Jiang
解决了确定自组织网络的吞吐量的问题。以前的研究主要集中在无限缓冲区场景，然而，在本文中，我们考虑具有可扩展流量模型的大规模自组织网络，其中每个节点都有 sizeBpackets 的缓冲区，并探讨其相应的每个节点吞吐量性能。我们首先将每个节点建模为 G/G/1/Bqueuing 系统，其中包含重要的无线干扰和介质访问争用。借助该排队模型，我们探索所有调度方案的吞吐量上限的属性。基于这些属性，我们进一步开发了一种分析方法来导出有关缓冲区有限自组织网络的每个节点吞吐量的表达式。结果表明，由于每跳缓冲区溢出而导致的丢包累积效应会降低吞吐量性能，且降低程度与缓冲区大小成反比。最后，我们提供了具体的调度方案，使每个节点的吞吐量在对称和非对称网络拓扑下都接近其上限。
The problem of determining the throughput capacity of an ad hoc network is addressed. Previous studies mainly focused on the infinite buffer scenario, however, in this paper we consider a large-scale ad hoc network with a scalable traffic model, where each node has a buffer of sizeBpackets, and explore its corresponding per node throughput performance. We first model each node as a G/G/1/Bqueuing system which incorporates the important wireless interference and medium access contention. With the help of this queuing model, we then explore the properties of the throughput upper bound for all scheduling schemes. Based on these properties, we further develop an analytical approach to derive the expressions of per node throughput capacity for the concerned buffer-limited ad hoc network. The results show that the cumulative effect of packet loss due to the per hop buffer overflowing will degrade the throughput performance, and the degradation is inversely proportional to the buffer size. Finally, we provide the specific scheduling schemes which enable the per node throughput to approach its upper bound, under both symmetrical and unsymmetrical network topologies.
登录
查看更多内容
影响因子：
2.5
作者：
Si-Hyeon Lee;Sae-Young Chung
通讯作者：
Si-Hyeon Lee;Sae-Young Chung
DOI：
10.1109/infcom.2005.1498538
发表时间：
2005-03
期刊：
Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.
影响因子：
--
作者：
Jeffrey D. Herdtner;E. Chong
通讯作者：
Jeffrey D. Herdtner;E. Chong
DOI：
--
发表时间：
2016
期刊：
--
影响因子：
--
作者：
K. Baumgartner
通讯作者：
K. Baumgartner
DOI：
10.1109/icccn.2007.4317896
发表时间：
2007-09
期刊：
2007 16th International Conference on Computer Communications and Networks
影响因子：
--
作者：
A. Takahashi;Y. Takahashi;S. Kaneda;N. Shinagawa
通讯作者：
A. Takahashi;Y. Takahashi;S. Kaneda;N. Shinagawa
影响因子：
8.3
作者：
Guanglin Zhang;Youyun Xu;Xinbing Wang;M. Guizani
通讯作者：
Guanglin Zhang;Youyun Xu;Xinbing Wang;M. Guizani