CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Survey on Data Aggregation using clustering in WSN

Published on June 2016 by Neha V. Deshmukh, A. V. Deorankar
journal_cover_thumbnail

National Conference on Advances in Computing, Communication and Networking
Foundation of Computer Science USA
ACCNET2016 - Number 4
June 2016
Authors: Neha V. Deshmukh, A. V. Deorankar
905bc8d2-b49e-4ac0-8188-f2ebbb1ae06e

Neha V. Deshmukh, A. V. Deorankar . A Survey on Data Aggregation using clustering in WSN. National Conference on Advances in Computing, Communication and Networking. ACCNET2016, 4 (June 2016), 24-26.

@article{
author = { Neha V. Deshmukh, A. V. Deorankar },
title = { A Survey on Data Aggregation using clustering in WSN },
journal = { National Conference on Advances in Computing, Communication and Networking },
issue_date = { June 2016 },
volume = { ACCNET2016 },
number = { 4 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/accnet2016/number4/24994-2284/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing, Communication and Networking
%A Neha V. Deshmukh
%A A. V. Deorankar
%T A Survey on Data Aggregation using clustering in WSN
%J National Conference on Advances in Computing, Communication and Networking
%@ 0975-8887
%V ACCNET2016
%N 4
%P 24-26
%D 2016
%I International Journal of Computer Applications
Abstract

Wireless sensor networks consist of a network in which node are spatially distributed. These sensor nodes communicates with each other for transferring data from one node to another. These sensor nodes while transfer of data consumes energy. So the energy consumption is high in wireless sensor networks. To reduce the energy consumption the compressive sensing method is given known as compressive sensing. Clustering is made in wireless sensor network for effective communication. Compressive sensing method used to reduce the energy consumption by the sensor nodes so that the energy consumed by the wireless sensor network should be less. MEMAC allows only nodes that have data to send to be included in the schedule which increases the energy efficiency of the protocol. SDMMDA protocol is also used with our proposed method to accurately reconstruct the signal at base node.

References
  1. RuitaoXie and XiaohuaJia, Fellow, IEEE, Computer Society" Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing" ieee transactions on parallel and distributed systems, vol. 25, no. 3, march 2014
  2. FengyuanRen, Member, IEEE, Jiao Zhang, Tao He, Chuang Lin, Senior Member, IEEE, and Sajal K. Das, Senior Member, ieee,"EBRP: Energy-Balanced Routing Protocol for Data Gathering in Wireless Sensor Networks", ieeetransactionson parallel and distributed systems, vol. 22, no. 12, december 2011.
  3. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler, "An Analysis of a Large Scale Habitat Monitoring Application," Proc. ACM Second Int'l Conf. Embedded Networked Sensor Systems (SenSys '04), pp. 214-226, Nov. 2004.
  4. R. Baraniuk, "Compressive Sensing [Lecture Notes]," IEEE Signal Processing Magazine, vol. 24, no. 4, pp. 118-121, July 2007.
  5. D. Donoho, "Compressed Sensing," IEEE Trans. Information Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
  6. J. Haupt, W. Bajwa, M. Rabbat, and R. Nowak, "Compressed Sensing for Networked Data," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 92-101, Mar. 2008.
  7. C. Luo, F. Wu, J. Sun, and C. W. Chen, "Compressive Data Gathering for Large-Scale Wireless Sensor Networks," Proc. ACM MobiCom, pp. 145-156, Sept. 2009.
  8. S. Lee, S. Pattem, M. Sathiamoorthy, B. Krishnamachari, and A. Ortega, "Spatially-Localized Compressed Sensing and Routing in Multi-Hop Sensor Networks," Proc. Third Int'l Conf. GeoSensor Networks (GSN '09), pp. 11-20, 2009.
  9. C. Luo, F. Wu, J. Sun, and C. W. Chen, "Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering," IEEE Trans. Wireless Comm. , vol. 9, no. 12, pp. 3728-3738, Dec. 2010.
  10. Wenjie Yan, Qiang Wang, Yi Shen, Yan Wang, Qitao Han, "An Efficient Data Gathering and ReconstructionMethod in WSNs Based on Compressive Sensing" Proc. IEEE, 2010.
  11. L. Xiang, J. Luo, and A. Vasilakos, "Compressed Data Aggregation for Energy Efficient Wireless Sensor Networks," Proc. IEEE Sensor, Mesh, and Ad Hoc Comm. and Networks (SECON '11), pp. 46-54, June 2011.
  12. F. Fazel, M. Fazel, and M. Stojanovic, "Random Access Compressed Sensing for Energy-Efficient Underwater Sensor Networks," IEEE J. Selected Areas Comm. , vol. 29, no. 8, pp. 1660-1670, Sept. 2011.
  13. Bashir Yahya will appear in Wiley series, "Energy efficient MAC protocols in Wireless Sensor Networks" in 2009
  14. J. Wang, S. Tang, B. Yin, and X. -Y. Li, "Data Gathering in Wireless Sensor Networks through Intelligent Compressive Sensing," Proc. IEEE INFOCOM, pp. 603-611, Mar. 2012.
  15. ShivendraDubey and ChetanAgrawal"a survey of data collection techniques in wireless sensor network",. 2013. ISSN: 22311963,International Journal of Advances in Engineering Technology, Sept. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Compressive Sensing Wireless Sensor Network Congestion Energy Consumption Clusteriing.