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Reseach Article

An Optimized Cooperative Transmission based on V-BLAST Technique and GA clustering for Wireless Sensor Networks

by Mohammad Sadeghian Kerdabadi, Ali Ahmadi, Reza Ghazizadeh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 12
Year of Publication: 2015
Authors: Mohammad Sadeghian Kerdabadi, Ali Ahmadi, Reza Ghazizadeh
10.5120/20390-2658

Mohammad Sadeghian Kerdabadi, Ali Ahmadi, Reza Ghazizadeh . An Optimized Cooperative Transmission based on V-BLAST Technique and GA clustering for Wireless Sensor Networks. International Journal of Computer Applications. 116, 12 ( April 2015), 28-34. DOI=10.5120/20390-2658

@article{ 10.5120/20390-2658,
author = { Mohammad Sadeghian Kerdabadi, Ali Ahmadi, Reza Ghazizadeh },
title = { An Optimized Cooperative Transmission based on V-BLAST Technique and GA clustering for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 12 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number12/20390-2658/ },
doi = { 10.5120/20390-2658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:57.152709+05:30
%A Mohammad Sadeghian Kerdabadi
%A Ali Ahmadi
%A Reza Ghazizadeh
%T An Optimized Cooperative Transmission based on V-BLAST Technique and GA clustering for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 12
%P 28-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Energy saving is an essential issue in the design of a wireless sensor network because the sensor nodes are generally energy-limited. Thus, minimizing and balancing the energy consumption for nodes are becoming important in terms of extending the network lifetime. In this paper, a novel energy-efficient cooperative MIMO transmission mechanism based on V-BLAST technique is proposed. Compared with previous presented structures, in proposed scheme the clustering is done based on Genetic Algorithm then V-BLAST technique based cooperative MIMO transmission are used. An energy consumption is developed to investigate the energy saving performance. The performance of suggested protocol is compared with the LEACH and previous work. Simulation results demonstrate that proposed scheme can achieve better network lifetime and decrease the energy consumption of the network.

References
  1. C. Shuguang, A. Goldsmith, ''Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,'' IEEE on Journal Selected Areas in Communications, vol. 22, no. 6, pp. 1089--1098, Aug. 2004.
  2. W. B. Heinzelman, A. P. Chandrakasan, H. Balakrishnan, "An Application-Specific Algorithm Architecture for Wireless Microsensor Networks," IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, 2002.
  3. O. Younis, M. Krunz, S. Ramasubramanian, ''Node clustering in wireless sensor networks: recent developments and deployment challenges," IEEE Network – Special Issue on Wireless Sensor Networking 20 (3) (2006) 20–25.
  4. Liu, B. , Wang, L. , Jin, Y. , ''Advances in Differential Evolution," CHIN. J. Control Decision 2007, 22,721– 729.
  5. M. Sadeghian kerdabadi, R. GHazizadeh, R. sadeghian kerdabadi, "A novel clustering algorithm for wireless sensor networks based HBMO", Indian J. Sci. Res. 7 (1): 662-670, 2014.
  6. S. Hussain, O. Islam, A. Matin, "Genetic algorithm for energy efficient clusters in wireless sensor networks, " In Proceedings of the 4th International Conference on Information Technology , IEEE Computer Society, April 2007.
  7. J. Tillet, R. Rao, F. Sahin, "Cluster-head Identification in Ad Hoc Sensor Networks using Particle Swarm Optimization," IEEE International Conference on Personal Wireless Communications, December 2002, pp. 201-205.
  8. N. M. A. Latiff, C. C. Tsimenidis, B. S. Sharif, "Performance Comparison of Optimization Algorithm for Clustering in Wireless Sensor Networks," IEEE International Conference on Mobile Adhoc and Sensor Systems, pp. 1-4 2007.
  9. I. Gupta, D. Riordan, S. Sampalli, "Cluster-head election using fuzzy logic for wireless sensor networks," Proceedings of Communication Networks and Services Research Conference (CNSR2), Halifax, Nova Scotia, Canada, pp. 255-260, 2005.
  10. Z. W. Siew, A. Kiring, H. T. Yew, P. Neelakantan K. T. K. Teo, "Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control," Proc. 2011 IEEE Colloquium on Humanities, Science and Engineering Research (CHUSER 2011), pp. 392-397, 2011.
  11. M. Afrashte Mehr, ''Cluster Head Election using Imperialist competitive algorithm (CHEI) for wireless sensor networks," International Journal of Mobile Network Communications & Telematics ( IJMNCT), Vol. 4, No. 3, June 2014.
  12. M. L. D. Wong, A K. Nandi, ''Automatic digital modulation recognition using artificial neural network and genetic algorithm. Signal Processing, 2004, 84(2), pp. 351-365.
  13. L. Xiaohua, "Energy efficient wireless sensor networks with transmission diversity," IEEE Electronics Letters, vol. 39, pp. 1753-1755, Nov. 2003.
  14. D. jie, L. Dan-pu,W. Hua-ri, '' Energy efficiency of virtual MIMO transmission schemes forcluster-based wireless sensor networks," The Journal of China Universities of Posts and Telecommunications ,pp. 31–38, August 2011.
  15. A. Duel-Hallen, "Decorrelating decision feedback multiuser detector for synchronous code-division multiple-access channel," IEEE Trans. Commun. , vol. 41, no. 2, pp. 285–290, Feb. 1993.
  16. M. K. Varanasi, "Decision feedback multiuser detection: A systematic approach," IEEE Trans. Inform. Theory, vol. 45, no. 1, pp. 219–240, Jan. 1999.
  17. J. Xu, W. Su, M. Zhou, "Likelihood function-based modulation classification in bandwidth-constrained sensor networks. Proceedings of the 2010 IEEE International Conference on Networking, Sensing and Control (ICNSC'10), Apr 10-13, 2010, Chicago, IL, USA. Piscataway, NJ, USA: IEEE, 2010.
  18. N. Ahmadi, R. Berangi, "Modulation classification of QAM and PSK fromtheir constellation using genetic algorithm and hierarchical clustering," Proceedings of the International Conference on Information and Communication Technologies, From Theory to Applications (ICTTA'08), Apr 7-11, 2008, Damascus, Syria. Piscataway, NJ, USA: IEEE, 2008.
  19. V. K. Sachan, Syed A. Imam, M. T. Beg," Energy-efficiency of Virtual Cooperative MIMO Techniques in Wireless Sensor Networks," International Conference on Computer Communication and Informatics (ICCCI-2012), Jan. 2012.
  20. K. Xu, W. Yuan, W. Cheng, Y. Ding, Z. Yang," An Energy-efficient V-BLAST Based Cooperative MIMO Transmission Scheme for Wireless Sensor Networks", IEEE Wireless Communications and Networking Conference,WCNC 2008. ,pp. 688 – 693, April 2008.
  21. A. Afshara, O. Bozorg Haddada, M. A. Marin, B. J. Adamsd, "Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation," Journal of the Franklin Institute, 2007, pp. 452–462.
  22. V. K. Sachan, Syed A. Imam , M. T. Beg ," Energy-efficiency of Virtual Cooperative MIMO Techniques in Wireless Sensor Networks," 2012 International Conference on Computer Communication and Informatics (ICCCI -2012), pp. 10 – 12, Jan, 2012.
  23. M. Krunz , M. Z. Siam , D. N. Nguyen," Clustering and power management for virtual MIMO communications in wireless sensor networks," Ad Hoc Networks journal, Volume 11, Issue 5, pp. 1571–1587, July 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor network Algorithm genetic Cooperative MIMO V-BLAST technique Network lifetime