NDLI: Power aware coding for spatio-temporally correlated wireless sensor data

Content Provider	IEEE Xplore Digital Library
Author	Tang, C. Raghavendra, C.S. Prasanna, V.K.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA (Tang, C.)
Abstract	A novel coding scheme is proposed for applications over wireless microsensor networks to meet both wireless link bandwidth and node energy constraints. First, an analysis is performed on the energy efficiency of coding schemes in wireless microsensor networks. Based on this analysis, we devise a power aware coding scheme, called EESPIHT which exploits the spatio-temporal correlation of multiple sensor readings. It is also made resilient to channel errors: it selects an error correcting code based on source coding information and transmission power so that energy dissipation is minimized. Experimental results on a LINUX implementation and simulation results based on OPNET using field data sets show that the proposed scheme can reduce energy on communication by more than 60% and maintain a signal-to-noise ratio (SNR) gain of 24 dB or better compared to the non-coded case.
Starting Page	134
Ending Page	143
File Size	721328
Page Count	10
File Format	PDF
ISBN	0780388151
DOI	10.1109/MAHSS.2004.1392091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Source coding Linux Energy dissipation Bandwidth Energy efficiency Error correction codes Performance analysis Microsensors Signal to noise ratio
Content Type	Text
Resource Type	Article

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