Dipl-Ing. Tran Dang Hoan

Technische Universität Ilmenau
Fakultät für Informatik und Automatisierung
FG Datenbanken und Informationssysteme
Postfach 100 565
D-98684 Ilmenau

Tel.: +49 (0) 3677 69 4166
FAX: +49 (0) 3677 69 4541
E-Mail: dang-hoan.tran[at]tu-ilmenau.de
Raum: Zusebau 3087

Kurzbiographie

Tran Dang Hoan ist Ph. D. Student im Fachgebiet Datenbanken und Informationssysteme der Fakultät für Informatik und Automatisierung der Technischen Universität Ilmenau unter der Leitung von Prof. Dr.-Ing. habil. Kai-Uwe Sattler.

Seine gegenwärtigen Forschungsinteressen sind die Verarbeitung und die Erkennung von Veränderungen von Datenströmen.

Den Abschluß als Diplomingenieur erwarb er 2000 an der Fakultät für Informationstechnologie der Technischen Universität Hanoi.
Von 2002 bis 2004 war er Master Student am Department für Mathematik der Hanoi University of Science, Vietnam National University.

Publications

2011

Dang-Hoan Tran, Jin Yang, Kai-Uwe Sattler
Decentralized Change Detection in Wireless Sensor Network Using DFT-based Synopsis
MDM 2011, June, Pages 236-235, 2011
[Bibtex]
```
@Inproceedings{DBIS:HoaYanSat11,
	Author 	= {Tran, Dang-Hoan and Yang, Jin and Sattler, Kai-Uwe},
	Booktitle	= {MDM 2011},
	Month	= {June},
	Pages	= {236-235},
	Title	= {Decentralized Change Detection in Wireless Sensor Network Using DFT-based Synopsis},
	Url	= {http://www.dbis.prakinf.tu-ilmenau.de/publications/files/DBIS:HoaYanSat11.pdf},
	Year	= {2011}
}
```
[Abstract]

Wireless sensor networks are often deployed to detect occurring changes in the environment. Detectability of the changes in the ambient environment contributes to the success of emerging sensor networks. The major challenges in designing change detection algorithms for wireless sensor networks are the restricted resources of sensors such as memory, communication bandwidth, and battery power. We propose a decentralized change detection framework for wireless sensor networks, present a novel algorithm using DFT coefficients as synopsis structures from signal-oriented data streams, which can reduce the amount of local memory required by the change detector while assuring accuracy of local detection. Furthermore, we show how to use a gossip-based framework for transmitting and aggregating the change detection results from the ambient area of events to the sink. This helps to find consensus among nodes in order to improve global detection accuracy while maintaining reasonable communication cost for the wireless sensor networks. We make empirical evaluations to show the effectiveness and the deployment potential of our change detection schemes in wireless sensor networks.
[Download]
Dang-Hoan Tran, Kai-Uwe Sattler
On Detection of Changes in Data Streams
In Proceeding of MoMM Conference 2011, December, 2011, to appear
[Bibtex]
```
@Inproceedings{DBIS:TranKai2011,
	Author 	= {Tran, Dang-Hoan and Sattler, Kai-Uwe},
	Booktitle	= {In Proceeding of MoMM Conference 2011},
	Month	= {December},
	Note	= {to appear},
	Title	= {On Detection of Changes in Data Streams},
	Year	= {2011}
}
```
[Abstract]

Change detection is the process of identifying dierences in the state of an object or phenomenon by observing it at dierent times. This problem has been researched and applied in many elds for a long time. However, designing and developing a change detection algorithm in sensor data streams is a challenging task due to the inherent diculties in developing change detection scheme and the restricted resources of sensor network. This paper proposes a general framework for detecting changes in sensor data streams by using data synopsis structures extracted from sensor data streams. We design and implement a specic change detection algorithm by using Discrete Fourier Transform (DFT) to extract DFT coecients as synopsis structures. We make empirical evaluations of the proposed algorithms with both synthetic and real data to show the eectiveness and the deployment potential of our change detection schemes in sensor data streams.

TU Ilmenau (Homelink)

Dipl-Ing. Tran Dang Hoan

Publications

2011