Abstract
Collaborative communication produces significant (N 2 where N is number of nodes used for collaboration) power gain and overcomes the effect of fading. With imperfect frequency synchronization significant but slightly less than N 2 power can be achieved. As the N increases more power gain can be achieved at the expense of more circuit power. In this paper an energy consumption model for collaborative communication system with imperfect frequency synchronization is proposed. The model to calculate the energy consumed by the sensor network for local communication and communication with base station is presented. Energy efficiency model for collaborative communication for the off-the shell products (CC2420 and AT86RF212) are presented. It is also shown that significant energy can be saved using collaborative communication as compared to traditional SISO (Single input single output) for products. The break-even distance where the energy consumed by SISO and collaborative communication is also calculated. From results it is revealed that collaborative communication using 5 nodes produces efficient energy saving.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Estrin, D., Girod, L., Pottie, G., Srivastava, M.: Instrumenting the world with wireless sensor networks. In: Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), vol. 4, pp. 2033–2036 (2033)
Kahn, J.M., Katz, R.H., Pister, K.S.J.: Next century challenges: mobile networking for smart dust. In: MobiCom 1999: Proc. 5th ACM/IEEE Intl. Conf. on Mobile Computing and Networking, pp. 271–2781 (1999)
Barriac, G., Mudumbai, R., Madhow, U.: Distributed beamforming for information transfer in sensor networks. In: Proc. 3rd International Symposium on Information Processing in Sensor Networks (IPSN 2004), April 26–27, pp. 81–88 (2004)
Han, Z., Poor, H.V.: Lifetime improvement in wireless sensor networks via collaborative beamforming and cooperative transmission. Microwaves, Antennas & Propagation, IET 1, 1103–1110 (2007)
Mudumbai, R., Barriac, G., Madhow, U.: On the feasibility of distributed beamforming in wireless networks. IEEE Trans. Wireless Commun. 6(5), 1754–1763 (2007)
Naqvi, H., Berber, S.M., Salcic, Z.: Collaborative Communication in Sensor Networks. Technical report No. 672, University of Auckland Engineering Library (2009)
Naqvi, H., Berber, S.M., Salcic, Z.: Performance Analysis of Collaborative Communication with imperfect Frequency Synchronization and AWGN in Wireless Sensor Networks. In: Proceedings of The 2009 International Conference on Future Generation Communication and Networking, Jeju Island, Korea (December 2009)
Schurgers, C., Aberthorne, O., Srivastava, M.B.: Modulation scaling for energy aware communication systems. In: Proc. Int. Symp. Low Power Electronics Design, August 2001, pp. 96–99 (2001)
Min, R., Chandrakasan, A.: A framework for energy-scalable communication in high-density wireless networks. In: Proc. Int. Symp. Low Power Electronics Design, August 2002, pp. 36–41 (2002)
Cui, S., Goldsmith, A.J., Bahai, A.: Modulation optimization under energy constraints. In: Proc. ICC 2003, AK, May 2003, pp. 2805–2811 (2003), http://wsl.stanford.edu/Publications.html
Cui, S., Goldsmith, A.J., Bahai, A.: Energy-Efficiency of MIMO and Cooperative MIMO Techniques in Sensor Networks. IEEE Journal on Selected Areas In Communications 22(6), 1089–1098 (2004)
Simić, L., Berber, S., Sowerby, K.W.: Energy-Efficiency of Cooperative Diversity Techniques in Wireless Sensor Networks. In: The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2007 (2007)
Sklar, B.: Rayleigh fading channels in mobile digital communication systems.I. Characterization. IEEE Communications Magazine 35(7), 90–100 (1997)
Goldsmith, A.: Wireless communications, pp. 31–42. Cambridge University Press, Cambridge (2005)
CC2420, Texas Instruments Chipcon Products, http://focus.ti.com/analog/docs/enggresdetail.tsp?familyId=367&genContentId=3573
AT86RF212, ATMEL Products, http://www.atmel.com/dyn/products/product_card.asp?PN=AT86RF212
Cheng, J., Beaulieu, N.C.: Accurate DS-CDMA bit-error probability calculation in Rayleigh fading. IEEE Trans. on Wireless Commun. 1(1), 3–15 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Naqvi, H., Berber, S., Salcic, Z. (2010). Energy Efficiency of Collaborative Communication with Imperfect Frequency Synchronization in Wireless Sensor Networks. In: Kim, Th., Adeli, H. (eds) Advances in Computer Science and Information Technology. AST ACN 2010 2010. Lecture Notes in Computer Science, vol 6059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13577-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-13577-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13576-7
Online ISBN: 978-3-642-13577-4
eBook Packages: Computer ScienceComputer Science (R0)