The week's pick
Reseach Article
The Energy Efficient Cooperative MIMO Technique for Hierarchical Clustering Protocol
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 57 - Number 9 |
| Year of Publication: 2012 |
| Authors: Kaushlendra Kumar Pandey, Ankit Jain, Rahul Dekar |
10.5120/9143-3365
|
Kaushlendra Kumar Pandey, Ankit Jain, Rahul Dekar . The Energy Efficient Cooperative MIMO Technique for Hierarchical Clustering Protocol. International Journal of Computer Applications. 57, 9 ( November 2012), 23-28. DOI=10.5120/9143-3365
Abstract
Recent development in microelectronics and signal processing enable more efficient use of wireless sensor network. Wireless sensor network finds its applicability in different area where the access of human being is so constrained. The sense data is being sent to the far situated user with the help of sensors. The different challenges of a wireless channel are bit error rate, signal attenuation and fading that occur in a wireless channel due to its unpredictable nature. Apart from this, using sensors for data transmission lots of energy is being consumed due to various mentioned constrained of wireless channel. A sensor mote is battery operated and fixed available power leads to network which posses a fixed life time. Thus lots of researches have been done at various layer of communication to reduce the energy consumption of a sensor during the communicating the sense data. In this paper a scheme has been proposed to implement MIMO system in hierarchical clustering protocol and the results shows that above a certain distance a cooperative MIMO technique is more energy efficient than the conventional hierarchical clustering protocol.
References
- F. Baccelli and S. Zuyev, Poisson Voronoi spanning trees with applications to the optimization of communication networks, Operations Res. , 47(4), 619–631, 1999.
- W. B. Heinzelman, A. P. Chandrakasan, and HariBalakrishnan, ?An Application-Specific Protocol Architecture for Wireless Microsensor Networks," IEEE Trans. Wireless Commun. , vol. 1, no. 4, Oct. 2002.
- V. Tarokh, H. Jafarkhani and A. Calderbank, "Space-Time Block codes from orthogonal design," IEEE trans. Inform. Theory,vol. 45,no. 5,pp. 1456-1466,1999.
- J. Li, Y. Gu, W. Zhang and B. H. Zhao, "MIMO Techniques in Cluster-Based Wireless Sensor Networks" , APWeb 2006.
- S. Cui, A. J. Goldsmith, and A. Bahai, "Modulation optimization under energy constraints," in Proc. ICC'03, AK, May 2003, pp. 2805–2811. [Online]. Available: http://wsl. stanford. edu/Publications. html.
- X. Li, M. Chen and W. Liu, "Cooperative transmissions in wireless sensor networks with imperfect synchronization," IEEE signal process. Lett. , 2004, 11(12), 948-951.
- Y. B . Zhang and H. Y. Dai. , "Selecting optimal transmission strategies for cooperative sensor networks," Proceedings of Conference on information and systems2005, John Hopkins University, 335-441.
- X. Li, M. Chen, and W. Liu, "Application of STBC-encoded cooperative transmissions in wireless sensor networks," IEEE Signal Processing. Lett. , 2005, 12(2):134-137.
- L. S. Pillutla, W. Krishnamurthy, "Joint rate and cluster optimization cooperative MIMO sensor networks," Proceedings of Signal Processing of SPAWC 2005,pp: 265-269
- Shuguang Cui, Student Member, IEEE, Andrea J. Goldsmith, Senior Member, IEEE, and Ahmad Bahai, Member, IEEE, Energy-Efficiency of MIMO and Cooperative MIMO Techniques in Sensor Networks," IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 22, NO. 6, AUGUST 2004
- S. Cui, A. J. Goldsmith, and A. Bahai, "Modulation optimization under energy constraints," in Proc. ICC'03, AK, May 2003, pp. 2805–2811. [Online]. Available: http://wsl. stanford. edu/Publications. html.
- "Energy-constrained modulation optimization," IEEE Trans. Wireless Commun. , 2004. [Online]. Available: http://wsl. stanford. edu/Publications. html, submitted for publication
- J. G. Proakis, Digital Communications, 4th ed. New York: McGraw- Hill, 2000.
- S. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE J. Select. Areas Commun. , vol. 16, pp. 1451–1458,Oct. 1998.
- A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, Cambridge, U. K. : Cambridge Univ. Press, 2003. preprint.
- "Energy-constrained modulation optimization for coded systems," in Proc. GLOBECOM'03, San Francisco, CA, Dec. 2003, pp. 372–376. [Online]. Available: http://wsl. stanford. edu/Publications. html.
- H. Chernoff, "A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations," Ann. Math. Statist. , vol. 23, no. 4, pp. 493–507, Dec. 1952.
Index Terms
Keywords