NDLI: Estimating transmitter activity patterns: An empirical study in the indoor environment

Content Provider	IEEE Xplore Digital Library
Author	Meshkova, E. Ansari, J. Riihijarvi, J. Nasreddine, J. Mahonen, P.
Copyright Year	2011
Description	Author affiliation: Institute for Networked Systems, RWTH Aachen University, Germany (Meshkova, E.; Ansari, J.; Riihijarvi, J.; Nasreddine, J.; Mahonen, P.)
Abstract	We empirically study problems of online estimation and modeling of radio activity (ON/OFF) patterns and their duty cycles. We consider performance of two algorithms that analyze power spectrum samples in time domain as sensed by WARP SDR boards placed at different indoor locations. The first algorithm utilizes density function of the marginal distribution of the received readings to perform clustering of the power samples into the classes that correspond to ON/OFF activity states. The second algorithm uses hidden Semi-Markov processes and the Viterbi algorithm to model and estimate the radio activity patterns of signal sources. Unlike the first algorithm it can also be used for both signal classification and estimation of the state duration that corresponds to the certain power level. We study signals obtained from one or two transmitters. Our results indicate the first technique can often provide accurate estimations. However, if sensor nodes receive low RSSI values or modeling of the temporal structure of the activity patterns is required then the second technique is preferable. This method also has a potential to benefit from cooperation between nodes.
Starting Page	503
Ending Page	508
File Size	2722905
Page Count	6
File Format	PDF
ISBN	9781457713460
e-ISBN	9781457713484
e-ISBN	9781457713477
DOI	10.1109/PIMRC.2011.6140012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Viterbi algorithm Estimation Prediction algorithms Clustering algorithms Radio transmitters Classification algorithms
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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