CFP last date
22 April 2024
Reseach Article

Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

by Kiran Maraiya, Kamal Kant, Nitin Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 9
Year of Publication: 2011
Authors: Kiran Maraiya, Kamal Kant, Nitin Gupta
10.5120/2981-3980

Kiran Maraiya, Kamal Kant, Nitin Gupta . Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network. International Journal of Computer Applications. 23, 9 ( June 2011), 10-18. DOI=10.5120/2981-3980

@article{ 10.5120/2981-3980,
author = { Kiran Maraiya, Kamal Kant, Nitin Gupta },
title = { Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 9 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 10-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number9/2981-3980/ },
doi = { 10.5120/2981-3980 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:41.828549+05:30
%A Kiran Maraiya
%A Kamal Kant
%A Nitin Gupta
%T Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 9
%P 10-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A wireless sensor network is a resource constraint network, in which all sensor nodes have limited resources. In order to save resources and energy, data must be aggregated, and avoid amounts of traffic in the network. The aim of data aggregation is that eliminates redundant data transmission and enhances the life time of energy in wireless sensor network. Data aggregation process has to be done with the help of effective clustering scheme .in this paper we gives new scheme related to clustering for data aggregation called “Efficient cluster head selection scheme for data aggregation in wireless sensor network” (ECHSSDA), also we compare our propose scheme to the LEACH clustering algorithm. Comparison is based on the energy consumption, cluster head selection and cluster formation. In which we predict that, our propose algorithm is better than LEACH in the case of consume less energy by the cluster node and cluster head sending data to the base station consume less energy as better then LEACH.

References
  1. Min R et al., “An Architecture for a power aware distributed micro-sensor node,” in Proceeding of IEEE Workshop on Signal Processing Systems (SIPS’00), Louisiana, October 2000.
  2. Akkaya K and Younis M, “A survey of routing protocols in wireless sensor networks,” Elsevier Ad Hoc Network. 3/3, 2005, 325-349.
  3. W. Heinzelman, A. Chandrakasan, H. Balakrishnan, “Energy-efficient communication protocol for wireless sensor networks,” in: Proceeding of the Hawaii International Conference System Sciences, Hawaii, January 2000.
  4. Chuan-Ming Liu and Chuan-Hsiu Lee, “Distributed algorithms for energy-efficient cluster-head election in wireless mobile sensor networks,” Conference on Wireless Networks (ICWN'05), Las Vegas, Nevada, USA, June 2005, 405-411.
  5. S. Lindsey, C.S. Raghavendra, “PEGASIS: power efficient gathering in sensor information systems,” in: Proceedings of the IEEE Aerospace Conference, Big Sky, Montana, March 2002.
  6. P.T.V.Bhuvaneswari, V.Vaidehi, “Enhancement techniques incorporated in LEACH- a survey,” Indian Journal of Science and Technology, Vol.2 No 5 (May 2009) ISSN: 0974- 6846.
  7. S. Lindsey, C.S. Raghavendra, K. Sivalingam, “Data gathering in sensor networks using the energy*delay metric,” in: Proceedings of the IPDPS Workshop on Issues in Wireless Networks and Mobile Computing, San Francisco, CA, April 2001.
  8. A. Manjeshwar, D.P. Agrawal, “TEEN: a protocol for enhanced efficiency in wireless sensor networks,” in: Proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA, April 2001.
  9. A. Manjeshwar, D.P. Agrawal, “APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks,” in: Proceedings of the 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile computing, Ft. Lauderdale, FL, April 2002.
  10. Ossama Younis, Sonia Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transaction on Mobile Computing, Vol.3,No.4, October-December 2004.
  11. Sajid Hussain, Abdul W. Matin, “Hierarchical Cluster-based Routing in Wireless Sensor Networks,” in Proceeding of 5th Intl. Conf. on Information Processing in Sensor Network (IPSN06), USA, April 19-21 2006.
  12. Suman Banerjee, Sumir Khuller, “A clustering scheme for hierarchical control in multi-hop wireless networks,” in Proceeding. of IEEE INFOCOM, Anchorage, Alaska, USA. Vol 2, April 2001, 1028- 1037.
  13. Udit Sajjanhar, Pabitra Mitra, “Distributive energy efficient adaptive clustering protocol for wireless sensor networks,” in Proceeding of International Conference on Mobile Data Management (MDM07), Mannheim, Germany 2007.
  14. Omar Moussaoui, Mohamed Naimi, “A distributed energy aware routing protocol for wireless sensor networks,” in Proceeding of ACM PE-WASUN’05, Montreal, Quebec, Canada, October 10–13 2005, 34-40.
  15. Rahul C. Shah R and Jan M. Rabaey, “Energy aware routing for low energy ad-hoc sensor networks,” in Proceeding of IEEE Wireless Communication and Networking Conf. (WCNC,) Orlando, March, 2002, pp 1-5.
  16. Fan Xiangning, Song Yulin, “Improvement on LEACH Protocol of Wireless Sensor Network,” International Conference on Sensor Technologies and Applications, Oct.14-20, 2007.
  17. V. Loscrì, G. Morabito, S. Marano, “A Two-Levels Hierarchy for Low-Energy Adaptive Clustering Hierarchy,” IEEE 62nd Vehicular Technology Conference (VTC-2005-FALL), Vol.3, Sept. 25-28, 2005.
  18. Wendi B. Heinzelman, Anantha P. Chandrakasan, Hari Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transaction on Wireless Communications, Vol. 1, No. 4, Oct. 2002.
  19. M. Bani Yassein, A. Al-zou'bi, Y. Khamayseh, W. Mardini , “Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH),” JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 3, No. 2, 2009, 132 -136.
  20. Amir Sepasi Zahmati, Bahman Abolhassani, Ali Asghar Beheshti Shirazi, Ali Shojaee Bakhtaran, “An Energy-efficient protocol with static clustering for wireless sensor networks,” International Journal on Electronics, Circuits and Systems, Volume. 1, issue 2, 2008, 135-138.
  21. Bhuvaneswari P.T.V, Vaidehi V, Shanmugavel S, “SPEAR: sensor protocol for energy aware Routing in wireless sensor network,” in Proceeding of IEEE Third International Conference on Wireless Communication & Sensor Networks (WCSN -2007), Allahabad, December 13-15, 2007, 133-137.
  22. Chuan-Ming Liu, Chuan-Hsiu Lee, Li-Chun Wang, “Power efficient communication algorithms for wireless mobile sensor networks,” in Proceeding of ACM PEWASUN’ 04, Venice, Italy, October 7, 2004, 121-122.
  23. OMNeT++ website, www.omnetpp.org.
  24. Chuan-Ming Liu, Chuan-Hsiu Lee, “Distributed algorithms for energy-efficient cluster-head election in wireless mobile sensor networks,” Conference on Wireless Networks (ICWN'05), Las Vegas, Nevada, USA,June 2005, 405-411.
  25. Dissertation, Hang Zhou, Zhe Jiang and Mo Xiaoyan, “Study and Design on Cluster Routing Protocols of Wireless Sensor Networks,” 2006.
  26. I. F. Akyildiz et al., “Wireless sensor networks: a survey,” Computer Networks, Vol. 38, March 2002, 393-422.
  27. S. Lindsey and C. Raghavendra, “PEGASIS: Power-Efficient Gathering in Sensor Information Systems”, Proceedings of the IEEE Aerospace Conference, vol. 3, pp. 1125-1130, Big Sky, MT, USA, March 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Sensor network clustering Data aggregation sensor node associate cluster head