NDLI: Passive Localization: Large Size Sensor Network Localization Based on Environmental Events

Content Provider	IEEE Xplore Digital Library
Author	YoungMin Kwon Agha, G.
Copyright Year	2008
Description	Author affiliation: Microsoft Corp., Redmond, WA (YoungMin Kwon)
Abstract	We develop a localization algorithm based on global environmental events observed by a sensor network. Examples of such events include the sound of thunder, the shades of moving clouds, or the vibrations in seismic data. Because our localization method does not generate signals for distance measurements, it saves energy. In fact, the algorithm may use existing sensor recordings to determine the locations of nodes at which the recordings were taken. Moreover, the method does not accumulate errors, making it also effective for large and sparse sensor networks. The localization uses time synchronization; we provide an algorithm to compensate for clock synchronization errors. Versions for both two dimensional and three dimensional localization of the algorithm are presented. Simulation results suggest that the algorithm can provide a high degree of accuracy when many events are recorded.
Starting Page	3
Ending Page	14
File Size	719948
Page Count	12
File Format	PDF
ISBN	9780769531571
DOI	10.1109/IPSN.2008.55
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SVD Clouds Passive Localization Acoustic propagation Synchronization Least squares approximation Spectrogram Wireless sensor networks Wireless Sensor Network Acoustic sensors Signal generators Projected Distance Distance measurement Localization Monitoring Clocks
Content Type	Text
Resource Type	Article

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