Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Modeling and simulation of wireless link quality (ETT) through principal component analysis of trace data

Le, Ahn and Krishnamurthy, Prashant and Tipper, David and Pelechrinis, Konstantinos (2011) Modeling and simulation of wireless link quality (ETT) through principal component analysis of trace data. In: PE-WASUN.

[img] Other
Available under License : See the attached license file.

Download (0B)
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Principal Component Analysis (PCA) is a powerful method in data analysis. In this paper, we employ the capabilities of PCA combined with statistical fits to trace data to develop tractable models that can be used to simulate the quality of links in wireless mesh networks using the expected transmission time (ETT) metric. We apply principal component analysis to ETT traces from a wireless mesh network to determine what features in the ETT traces are important and to extract any meaningful relationships therein. We demonstrate that PCA can be used to efficiently approximate large volumes of ETT values. In particular, the ETT trace for each link can be expressed as a combination of two basis vectors -- one fairly stable and the other containing the variations in time. We also show how the extracted features can be employed to simulate ETT for a given network topology with and without known ETT trace data.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Le, Ahn
Krishnamurthy, Prashant
Tipper, David
Pelechrinis, Konstantinoskpele@pitt.eduKPELE0000-0002-6443-3935
Date: October 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Event Title: PE-WASUN
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
Date Deposited: 15 Jun 2012 19:52
Last Modified: 31 Jul 2020 19:00
URI: http://d-scholarship.pitt.edu/id/eprint/12368

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item