NDLI: A low-power multiplication algorithm for signal processing in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Abdelgawad, A. Abdelhak, S. Ghosh, S. Bayoumi, M.
Copyright Year	2009
Description	Author affiliation: The Center for Advanced Computer Studies, University of Louisiana at Lafayette, 70504, USA (Abdelgawad, A.; Abdelhak, S.; Ghosh, S.; Bayoumi, M.)
Abstract	Multiplication is at the core of many data processing tasks and saving power at the multiplication level can significantly impact the lifetime of a wireless sensor network. This paper introduces a novel light-weight low-power multiplication algorithm which is tailored for sensor nodes featuring low-end microcontrollers. These microcontrollers might have no hardware multiplier, or feature a fixed-point hardware multiplier which incurs significant energy overhead when enabled. The proposed algorithm aims to reduce the number of add operations during multiplication by rounding any sequence of 1's in the fractional part. The applied rounding decreases the number of instruction cycles, and reduces the memory storage without increasing the code complexity or sacrificing accuracy. Simulation results show that the proposed algorithm achieves up to 17% power saving and 16% increase in speed, with only 1% accuracy loss compared to Horner's algorithm. The effectiveness of the algorithm was demonstrated by implementing a finite impulse response (FIR) using the proposed method. The new multiplication method has been validated experimentally using the eZ430-RF2500 wireless sensor board.
Starting Page	695
Ending Page	698
File Size	572098
Page Count	4
File Format	PDF
ISBN	9781424444793
ISSN	15483746
DOI	10.1109/MWSCAS.2009.5236001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-02
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Wireless sensor networks Hardware Finite impulse response filter Microcontrollers IIR filters Computer networks Filtering Equations Signal processing
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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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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