2010 IEEE International Conference on Acoustics, Speech and Signal Processing 2010
DOI: 10.1109/icassp.2010.5495986
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Green modulation in dense Wireless Sensor Networks

Abstract: Emails: {abouei, kostas and pas}@comm.utoronto.ca. AbstractDue to unique characteristics of sensor nodes, choosing energy-efficient modulation scheme with low-complexity implementation (refereed to as green modulation) is a critical factor in the physical layer of Wireless Sensor Networks (WSNs). This paper presents (to the best of our knowledge) the first in-depth analysis of energy efficiency of various modulation schemes using realistic models in IEEE 802.15.4 standard and present state-of-the art technolog… Show more

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Cited by 26 publications
(29 citation statements)
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“…Among various sinusoidal carrier-based modulation techniques, FSK has been found to provide a good compromise between simple radio architecture, low-power consumption, and requirements on linearity of the modulation scheme [2], [10], [19]. Also, this scheme is used in some IEEE standards (e.g., [20]).…”
Section: Energy Consumption Of Uncoded Schemementioning
confidence: 99%
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“…Among various sinusoidal carrier-based modulation techniques, FSK has been found to provide a good compromise between simple radio architecture, low-power consumption, and requirements on linearity of the modulation scheme [2], [10], [19]. Also, this scheme is used in some IEEE standards (e.g., [20]).…”
Section: Energy Consumption Of Uncoded Schemementioning
confidence: 99%
“…In a practical WSN however, it is shown that minimizing the total energy consumption depends strongly on the active mode duration and the channel bandwidth. References [2], [6] and [10] address this issue in a point-to-point WSN, where a sensor node transmits an equal amount of data per time unit to a designated sink node. In [2], the authors show that uncoded MQAM is more energy-efficient than uncoded MFSK for short-range applications, while using convolutional coded MFSK over AWGN is desirable for longer distances.…”
Section: Introductionmentioning
confidence: 99%
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