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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2007-05-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://dx.doi.org/10.1155/2007/41401 |
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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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