DocumentCode :
615975
Title :
Source localization using graph-based optimization technique
Author :
Srirangarajan, Seshan ; Pesch, Dirk
Author_Institution :
Nimbus Center for Embedded Syst. Res., Cork Inst. of Technol., Cork, Ireland
fYear :
2013
fDate :
7-10 April 2013
Firstpage :
1127
Lastpage :
1132
Abstract :
Many of the physical systems in the real world together with their surrounding environments and the networks used for monitoring these systems can be mathematically modeled as a graph. We present a graph-based optimization technique for source localization in such systems. The proposed technique uses the detection times of any particular event or phenomenon of interest at different measurement points within the system to determine the actual location or source of the event. The graphical model represents the propagation characteristics of the physical phenomenon as well as the topology of the monitoring network. The source localization algorithm is validated using experimental data from a wireless sensor network test bed used for monitoring the drinking water distribution system. We also present a method for analyzing the sensitivity of the localization result to estimation errors in the parameters of the graphical model.
Keywords :
direction-of-arrival estimation; graph theory; optimisation; radiotelemetry; sensor placement; signal detection; time-of-arrival estimation; wireless sensor networks; drinking water distribution system monitoring; graph-based optimization technique; graphical model; measurement points; monitoring network topology; physical phenomenon; physical systems; propagation characteristics; sensitivity analysis; source localization algorithm; time difference arrival estimation; wireless sensor network test bed; Graphical models; Mathematical model; Monitoring; Optimization; Position measurement; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2013.6554722
Filename :
6554722
Link To Document :
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