A clustering-based characteristic model for unreliable sensor network data

Publikationstyp
Conference Paper
Date Issued
2015
Sprache
English
Author(s)
Kulau, Ulf  
Breuer, Tobias  
Wolf, Lars  
TORE-URI
http://hdl.handle.net/11420/10997
Start Page
351
End Page
356
Article Number
7389079
Citation
IEEE World Forum on Internet of Things: 7389079, 351-356 (2015)
Contribution to Conference
2nd IEEE World Forum on Internet of Things, WF-IoT 2015  
Publisher DOI
10.1109/WF-IoT.2015.7389079
Scopus ID
2-s2.0-84964556729
Publisher
IEEE
Wireless Sensor Networks (WSNs) that are deployed outdoors suffer from rough environmental conditions. Moreover, cheap hardware or energy management techniques like undervolting might lead to inaccurate sensing results and, thus, unreliable data. Hence we propose a characteristic model of every sensor node's data to derive the 'normal' behavior of sensors statistically. Beside massively reducing the total amount of sensed data, this representative model can be used to detect discordant values and redundancies between nodes. Theoretical considerations as well as a functionality test of a server implementation with real WSN nodes show the features of this approach.
DDC Class
004: Informatik
600: Technik