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Energy Efficient Data Transmission Scheme for Wireless Sensor Network using DSC-MIMO

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Krati Varshney, Manish Kumar Singh, Vibhav Kumar Sachan, Syed Akhter Imam
10.5120/ijca2017914329

Krati Varshney, Manish Kumar Singh, Vibhav Kumar Sachan and Syed Akhter Imam. Energy Efficient Data Transmission Scheme for Wireless Sensor Network using DSC-MIMO. International Journal of Computer Applications 167(6):37-43, June 2017. BibTeX

@article{10.5120/ijca2017914329,
	author = {Krati Varshney and Manish Kumar Singh and Vibhav Kumar Sachan and Syed Akhter Imam},
	title = {Energy Efficient Data Transmission Scheme for Wireless Sensor Network using DSC-MIMO},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {6},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {37-43},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume167/number6/27779-2017914329},
	doi = {10.5120/ijca2017914329},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

A Wireless sensor network is made up of small sensor devices which can communicate with each other and that are Battery operated. The Energy resources are limited and battery replacement is not easy work. There are so many application of sensor network such as Target tracking, Remote monitoring, waste water monitoring, data logging, natural disaster prevention, land slide detection, etc. Because energy resources are limited so there is a need of energy saving mechanisms which can efficiently reduce power level. In this paper we will analyze energy consumption of distributed source coding MIMO system. There are three domains in sensor network where power consumption has occurred that are Sensing, communication and data processing.

In this paper, we will discuss about DSC-MIMO methods to reduce power consumption and increase energy efficiency and will compare with traditional SISO and MIMO system. DSC (Distributed Source Coding) schemes are used to compress data of sensor nodes which is correlated. By this method we can gain high coding efficiency and MIMO is effectively reducing energy consumption.

References

  1. IEEE 802.15.4 standard for information technology. Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer PHY Specification for Low-Rate Wireless Personal Area Networks (WPANS), 2006.
  2. Sivash M. Alamouti. A simple transmit diversity technique for wireless communications .IEEE Journal on Select Areas in Communications, 16(8): 1451–1458, October 1998.
  3. Wenqing Chen, Yong Yuan, Changchun Xu, and Kezhong Liuand Zongkai Yang. Virtual MIMO protocol based on clustering for wireless sensor network. Computers and Communications, 2005, ISCC 2005, Proceedings, 10th IEEE Symposium, 2005b.
  4. Shuguang Cui, Andrea J. Goldsmith, and Ahmad Bahai. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications, 22(6):1089–1098, August 2004.
  5. Shuguang Cui, Andrea J. Goldsmith, and Ahmad Bahai. Energy-constrained modulation optimization. IEEE Transaction on Wireless Communication, 4(5):2349–2360, Sept 2005
  6. Shuguang Cui, Andrea J. Goldsmith, and Ahmad Bahai. Cross-layer design of energy-constrained networks using cooperative mimo techniques. Invited for Publication at EURASIP’S Signal Processing Journal, August 2006.
  7. Ji-Huan He and Xu-Hong Wu. Variatioanl iteration method: New development and applications. Computers and mathematics with applications, (54):881–894, 2007.
  8. Sudharaman K. Jayaweera. Energy analysis of MIMO techniques in wireless sensor networks. 38th Annual Conf. on Information Sciences and Systems (CISS 04), Princeton,NJ, Mar 2004.
  9. Sudharaman K. Jayaweera. Energy efficient virtual MIMO-based cooperative communications for wireless sensor networks. 2nd International Conf. on Intelligent Sensing and Information Processing and Information Processing (ICISIP’05, Jan 2005.
  10. Sudharaman K. Jayaweera. Virtual-MIMO based cooperative communication for energy-constrained wireless sensor networks. IEEE Transaction Wireless Communication, 5(5):984–989, May 2006.
  11. Sudharaman K. Jayaweera. An energy-efficient virtual MIMO communications architecture based on v-blast processing for distributed wireless sensor networks. IEEE Transaction Wireless Communication.
  12. Wenyu Liu and Mo Chen Xiaohua Li. Energy efficiency of MIMO transmissions in wireless sensor networks with diversity and multiplexing gains. Acoustic, Speech and Signal Processing, 4:897–900, March 2005.
  13. Wang Qing-hua, QU Yu-gui, LIN Zhi-ting, and BAI Rong-gang. Protocol for the application of co-operative MIMO based on clustering in sparse wireless sensor networks. The journal of China Universities of posts and telecommunications, 14(2), June 2007a.
  14. Wang Qing-hua, QU Yu-gui, LIN Zhi-ting, BAI Rong-gang, ZHAO Bao-hua, and PAN Quan-ke. Protocol for the application of cooperative MIMO based on clustering in sparse wireless sensor networks. The journal of China universities of posts and telecommunications, 14(2), June 2007b.
  15. Yong Yuan and Zhihai He. Virtual MIMO-based cross-layer design for wireless sensor networks. Vehicular Technology, IEEE Transaction, 55(3), May 2006a.
  16. Yong Yuan and Zhihai He. A novel cluster-based cooperative MIMO scheme for multi-hop wireless sensor networks. EURASIP Journal on Wireless
  17. Communications and Networking, 2006(72493):1–9, 2006b. Yanbing Zhang and Huaiyu Dai. Energy-efficiency and transmission strategy selection in cooperative wireless sensor networks. Journal of Communications and networks, 9(4), December 2007.
  18. S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 22, no. 6, pp. 1089–1098, 2004.
  19. S. K. Jayaweera, “Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks,” IEEE Transactions on Wireless Communications, vol.5,no. 5, pp. 984– 989, 2006.

Keywords

WSN (Wireless sensor network), DSC (Distributed source coding), MIMO (Multiple input Multiple output), SISO (Single input Single output), Power consumption.