.png){kind=icon}
返回
Mitigating performance degradation in congested sensor networks
.png){kind=icon}
OA
AI
DOI：10.1109/TMC.2008.20.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Data generated in wireless sensor networks may not all be alike: some data may be more important than others and hence may have different delivery requirements. In this paper, we address differentiated data delivery in the presence of congestion in wireless sensor networks. We propose a class of algorithms that enforce differentiated routing based on the congested areas of a network and data priority. The basic protocol, called Congestion-Aware Routing ( CAR), discovers the congested zone of the network that exists between high-priority data sources and the data sink and, using simple forwarding rules, dedicates this portion of the network to forwarding primarily high-priority traffic. Since CAR requires some overhead for establishing the high-priority routing zone, it is unsuitable for highly mobile data sources. To accommodate these, we define MAC-Enhanced CAR ( MCAR), which includes MAC-layer enhancements and a protocol for forming high-priority paths on the fly for each burst of data. MCAR effectively handles the mobility of high-priority data sources, at the expense of degrading the performance of low-priority traffic. We present extensive simulation results for CAR and MCAR, and an implementation of MCAR on a 48-node testbed.
Keyword:
wireless sensor networks
routing
congestion
differentiated service
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:
9.2
论文数:
5.8K
被引数:
1.8W
机构
引用论文
.png){kind=icon}
分享收藏Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes具有约束的系统的笛卡尔运动方程的数值积分: 正构烷烃的分子动力学
PREAI
分享收藏分享收藏分享收藏
查看更多内容