An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints

We consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized netw...

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Main Authors: J. Joaquín Escudero Garzás, Carlos Bousoño Calzón, Ana García Armada
Format: Article
Language:English
Published: SpringerOpen 2007-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2007/41401
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spelling doaj-470852407d7b42a8b048bb2ddf9490882020-11-25T00:06:59ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992007-05-01200710.1155/2007/41401An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput ConstraintsJ. Joaquín Escudero GarzásCarlos Bousoño CalzónAna García ArmadaWe consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots. The modulation level and the number of allocated time slots for every sensor are constrained to attain their applications bit rates in a global energy-efficient manner. The signal-to-noise ratio gap approximation is used in our exposition in order to jointly handle required bit rates, transmission energies, and symbol error rates.http://dx.doi.org/10.1155/2007/41401
collection DOAJ
language English
format Article
sources DOAJ
author J. Joaquín Escudero Garzás
Carlos Bousoño Calzón
Ana García Armada
spellingShingle J. Joaquín Escudero Garzás
Carlos Bousoño Calzón
Ana García Armada
An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
EURASIP Journal on Wireless Communications and Networking
author_facet J. Joaquín Escudero Garzás
Carlos Bousoño Calzón
Ana García Armada
author_sort J. Joaquín Escudero Garzás
title An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
title_short An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
title_full An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
title_fullStr An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
title_full_unstemmed An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints
title_sort energy-efficient adaptive modulation suitable for wireless sensor networks with ser and throughput constraints
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2007-05-01
description We consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots. The modulation level and the number of allocated time slots for every sensor are constrained to attain their applications bit rates in a global energy-efficient manner. The signal-to-noise ratio gap approximation is used in our exposition in order to jointly handle required bit rates, transmission energies, and symbol error rates.
url http://dx.doi.org/10.1155/2007/41401
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