.png){kind=icon}
Return
Optimizing protocol interaction using response surface methodology
.png){kind=icon}
PRE
AI
DOI：10.1109/TMC.2006.82.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Response surface methodology (RSM) is a collection of statistical design and numerical optimization techniques traditionally used to optimize industrial processes. In this paper, we demonstrate that the methodology can be successfully applied to the domain of networking. Specifically, we obtain increased throughput with a significant decrease in delay in a ns-2 simulation model of a mobile ad hoc network (MANET) by using RSM to optimize protocol interaction found by factor screening. Whether the experimentation is with a stochastic simulation model or a physical system, such as a MANET or a wireless sensor network test-bed, RSM provides a general and practical methodology to screen factors and robustly and jointly optimize responses.
Keywords:
statistical methods
experimental design
wireless networks
algorithm/protocol analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.2
Papers:
5.9K
Citations:
1.8W
Organization
No organization information available
Cited Papers
.png){kind=icon}
The Behavioral Activation for Depression Scale (BADS): Psychometric Properties and Factor Structure
PREAI
ShareSaveShareSaveShareSaveShareSave
View more