NDLI: An energy efficient adaptive distributed source coding scheme in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Caimu Tang Raghavendra, C.S. Prasanna, V.K.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Southern California Univ., Los Angeles, CA, USA (Caimu Tang)
Abstract	Sensor networks are used in a variety of applications for event monitoring, environmental sensing and outer space exploration. An important application is detecting a target in the field using sensors gathering acoustic data. In this target detection application (ATR), a cluster of wireless sensors collected acoustic data and perform signal processing. In the algorithm used for signal processing, acoustic data collected by the sensors need to be communicated to a designated head node for determining the target direction of bearing. The data collected by geometrically closely distributed sensors show high spatial correlation. In this paper, our focus is on energy efficient coding schemes for wireless sensor networks. First we give an analysis to show why conventional compression scheme give poor performance when energy consumption for encoding and decoding processing overheads are considered. We then describe a new coding scheme called EEADSC, which minimizes the Lagrangian cost function. The proposed scheme fully exploits spatial correlation in wireless sensor network and is adaptive according to tracking signal strength. We evaluated the proposed scheme using datasets from an ATR application, which achieved up to a factor of 8 data compression. EEADSC uses TCQ quantization and trellis encoding to represent a 16 bit data value by as few as 2 bits. With the scheme, we reduce the overall energy cost for communication in this application by a factor of 2.53, including the overhead processing cost in encoding/decoding. The scheme also fits well for general sensor network applications in which some data collection and aggregation are performed.
Starting Page	732
Ending Page	737
File Size	313137
Page Count	6
File Format	PDF
ISBN	0780378024
DOI	10.1109/ICC.2003.1204270
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy efficiency Source coding Wireless sensor networks Acoustic sensors Signal processing algorithms Encoding Acoustic applications Acoustic signal processing Decoding Costs
Content Type	Text
Resource Type	Article

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