Energy efficient adaptive cooperative communications in wireless sensor networks

Radwa Ahmed Osman; Xiao-Hong Peng; Zuoyin Tang

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.163

Energy efficient adaptive cooperative communications in wireless sensor networks

Radwa Ahmed Osman, Xiao-Hong Peng, Zuoyin Tang

Adaptive Communications Networks Research Group

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Energy efficiency is one of the most important performances of a wireless sensor network. In this paper, we show that choosing a proper transmission scheme given the channel and network conditions can ensure a high energy performance in different transmission environments. Based on the energy models we established for both cooperative and non-cooperative communications, the efficiency in terms of energy consumption per bit for different transmission schemes is investigated. It is shown that cooperative transmission schemes can outperform non-cooperative schemes in energy efficiency in severe channel conditions and when the source-destination distance is in a medium or long range. But the latter is more energy efficient than the former for short-range transmission. For cooperative transmission schemes, the number of transmission branches and the number of relays per branch can also be properly selected to adapt to the variations of the transmission environment, so that the total energy consumption can be minimized.

Original language	English
Title of host publication	Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015
Place of Publication	Piscataway, NJ (US)
Publisher	IEEE
Pages	1080-1086
Number of pages	7
ISBN (Electronic)	978-1-5090-0154-5
ISBN (Print)	978-1-5090-0153-8
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.163
Publication status	Published - Dec 2015
Event	15th IEEE International Conference on Computer and Information Technology / 14th IEEE International Conference on Ubiquitous Computing and Communications / 13th IEEE International Conference on Dependable, Autonomic and Secure Computing / 13th IEEE International Conference on Pervasive Intelligence and Computing - Liverpool, United Kingdom Duration: 26 Oct 2015 → 28 Oct 2015

Conference

Conference	15th IEEE International Conference on Computer and Information Technology / 14th IEEE International Conference on Ubiquitous Computing and Communications / 13th IEEE International Conference on Dependable, Autonomic and Secure Computing / 13th IEEE International Conference on Pervasive Intelligence and Computing
Abbreviated title	CIT 2015 / IUCC 2015 / DASC 2015 / PICom 2015
Country/Territory	United Kingdom
City	Liverpool
Period	26/10/15 → 28/10/15

Keywords

adaptive transmission
cooperative communications
energy efficiency
wireless sensor network

Access to Document

10.1109/CIT/IUCC/DASC/PICOM.2015.163

Cite this

Osman, R. A., Peng, X.-H., & Tang, Z. (2015). Energy efficient adaptive cooperative communications in wireless sensor networks. In Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015 (pp. 1080-1086). IEEE. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.163

Osman, Radwa Ahmed ; Peng, Xiao-Hong ; Tang, Zuoyin. / Energy efficient adaptive cooperative communications in wireless sensor networks. Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015. Piscataway, NJ (US) : IEEE, 2015. pp. 1080-1086

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abstract = "Energy efficiency is one of the most important performances of a wireless sensor network. In this paper, we show that choosing a proper transmission scheme given the channel and network conditions can ensure a high energy performance in different transmission environments. Based on the energy models we established for both cooperative and non-cooperative communications, the efficiency in terms of energy consumption per bit for different transmission schemes is investigated. It is shown that cooperative transmission schemes can outperform non-cooperative schemes in energy efficiency in severe channel conditions and when the source-destination distance is in a medium or long range. But the latter is more energy efficient than the former for short-range transmission. For cooperative transmission schemes, the number of transmission branches and the number of relays per branch can also be properly selected to adapt to the variations of the transmission environment, so that the total energy consumption can be minimized.",

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author = "Osman, {Radwa Ahmed} and Xiao-Hong Peng and Zuoyin Tang",

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Osman, RA, Peng, X-H & Tang, Z 2015, Energy efficient adaptive cooperative communications in wireless sensor networks. in Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015. IEEE, Piscataway, NJ (US), pp. 1080-1086, 15th IEEE International Conference on Computer and Information Technology / 14th IEEE International Conference on Ubiquitous Computing and Communications / 13th IEEE International Conference on Dependable, Autonomic and Secure Computing / 13th IEEE International Conference on Pervasive Intelligence and Computing, Liverpool, United Kingdom, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.163

Energy efficient adaptive cooperative communications in wireless sensor networks. / Osman, Radwa Ahmed; Peng, Xiao-Hong; Tang, Zuoyin.
Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015. Piscataway, NJ (US): IEEE, 2015. p. 1080-1086.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Energy efficient adaptive cooperative communications in wireless sensor networks

AU - Osman, Radwa Ahmed

AU - Peng, Xiao-Hong

AU - Tang, Zuoyin

PY - 2015/12

Y1 - 2015/12

N2 - Energy efficiency is one of the most important performances of a wireless sensor network. In this paper, we show that choosing a proper transmission scheme given the channel and network conditions can ensure a high energy performance in different transmission environments. Based on the energy models we established for both cooperative and non-cooperative communications, the efficiency in terms of energy consumption per bit for different transmission schemes is investigated. It is shown that cooperative transmission schemes can outperform non-cooperative schemes in energy efficiency in severe channel conditions and when the source-destination distance is in a medium or long range. But the latter is more energy efficient than the former for short-range transmission. For cooperative transmission schemes, the number of transmission branches and the number of relays per branch can also be properly selected to adapt to the variations of the transmission environment, so that the total energy consumption can be minimized.

AB - Energy efficiency is one of the most important performances of a wireless sensor network. In this paper, we show that choosing a proper transmission scheme given the channel and network conditions can ensure a high energy performance in different transmission environments. Based on the energy models we established for both cooperative and non-cooperative communications, the efficiency in terms of energy consumption per bit for different transmission schemes is investigated. It is shown that cooperative transmission schemes can outperform non-cooperative schemes in energy efficiency in severe channel conditions and when the source-destination distance is in a medium or long range. But the latter is more energy efficient than the former for short-range transmission. For cooperative transmission schemes, the number of transmission branches and the number of relays per branch can also be properly selected to adapt to the variations of the transmission environment, so that the total energy consumption can be minimized.

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PB - IEEE

CY - Piscataway, NJ (US)

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Osman RA, Peng XH, Tang Z. Energy efficient adaptive cooperative communications in wireless sensor networks. In Proceedings - the 15th IEEE International Conference on Computer and Information Technology (CIT 2015), the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), the 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2015) — CIT/IUCC/DASC/PICom 2015. Piscataway, NJ (US): IEEE. 2015. p. 1080-1086 doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.163

Energy efficient adaptive cooperative communications in wireless sensor networks

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Keywords

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