A Study on Energy Consumption Optimization for Cooperative Beamforming in Wireless Sensor Networks

Article Preview

Abstract:

In wireless sensor networks where the volume and energy of nodes are limited by batteries, which are difficult or prohibitively expensive to replace or recharge in the most of its application scenarios, so improving energy efficiency has very important significance.Cooperative beamforming forms virtual antenna arrays by multiple adjacent wireless sensor nodes, which improves the signal strength at the receiver and reduces the energy consumption of the transmitter by multiplexing gain and interference management.In this paper, the problem of energy consumption optimization for cooperative beamforming in wireless sensor networks was studied. First, considering both amplifier energy consumption and circuit energy consumption,energy consumption models for both broadcast phase and cooperative beamforming phase was presented.Then,we propose a two-step optimization to minimize the total energy consumption by optimizing the modulation parameter and the number of cooperative nodes.We simulate the total energy consumption for various transmission distances,modulation parameters , path losses and the number of cooperative nodes.The numerical results show that,for different system parameters, selecting the optimal modulation parameter and the optimal number of cooperative nodes can reduce total energy consumption and improve energy efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

625-631

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] D.N. Nguyen and M. Krunz: IEEE Network, Vol. 27 (2013) No. 4, pp.48-54.

Google Scholar

[2] J.C. Fan, Q.Y. Yin, W.J. Wang and A. Feng: Journal on Communications, Vol. 29 (2008) No. 11, pp.145-151. (In Chinese).

Google Scholar

[3] Z.C. QIN, Z. Zhou and X.C. Zhao: Journal on Communications, Vol. 34 (2013) No. 4, pp.19-27. (In Chinese).

Google Scholar

[4] S.G. Cui, A.J. Coldsimth and A. Bahai: IEEE Journal on Selected Areas in Communication, Vol. 22 (2004) No. 6, pp.1089-1098.

Google Scholar

[5] S.G. Cui, A.J. Coldsimth and A. Bahai: IEEE Transactions on Wireless Communications, Vol. 4 (2005) No. 5, pp.2349-2360.

Google Scholar

[6] S.K. Jayaweera: IEEE Transactions on Wireless Communications, Vol. 5 (2006) No. 5, pp.984-989.

Google Scholar

[7] R.Y. Jiang, W. Ji and B.Y. Zheng: Journal of Electronics & Information Technology, Vol. 32 (2010) No. 6, pp.1475-1479. (In Chinese).

Google Scholar