NDLI: Accuracy-Guided Runtime Adaptive Profiling Optimization of Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Lu Ding Lizarraga, A. Lysecky, S. Lysecky, R. Gordon-Ross, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA (Lu Ding; Lizarraga, A.; Lysecky, S.; Lysecky, R.; Gordon-Ross, A.)
Abstract	Optimization of sensor networks relies on accurate profiling information collected about the state of individual nodes and the network as a whole. A single fixed profiling methodology may incur significant overheads on the sensor network or produce inaccurate profiling results due to dynamic changes in application behavior at runtime. Alternatively, reconfiguring the profiling methodology at runtime in response to such changes can help maintain the accuracy of profiling results while minimizing the associated overheads. In this paper, we present a runtime adaptive profiling methodology that can adapt to runtime behavior of the network and preserve the accuracy of profiling data. This runtime adaptive profiling strategy further allows application experts to control the profiling accuracy, thereby providing a mechanism to tradeoff accuracy and overhead. Experimental results demonstrate that network, computational time, and power consumption overheads can be reduced by more than 50% compared to using a fixed profiling methodology while only missing 2% of profiled events.
Sponsorship	IEEE Comput. Soc.
Starting Page	82
Ending Page	91
File Size	369880
Page Count	10
File Format	PDF
e-ISBN	9780769549910
DOI	10.1109/ECBS.2013.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Runtime Accuracy Monitoring Measurement Power demand Noise dynamic optimization runtime adaptive profiling sensor networks distributed embedded systems
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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