CFP last date
20 May 2024
Reseach Article

A Survey on Load Balanced Energy Efficient Clustering Protocols for Wireless Sensor Networks

by Manpreet Kaur, Sandeep Kaur Dhanda
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 33
Year of Publication: 2018
Authors: Manpreet Kaur, Sandeep Kaur Dhanda
10.5120/ijca2018916839

Manpreet Kaur, Sandeep Kaur Dhanda . A Survey on Load Balanced Energy Efficient Clustering Protocols for Wireless Sensor Networks. International Journal of Computer Applications. 180, 33 ( Apr 2018), 36-41. DOI=10.5120/ijca2018916839

@article{ 10.5120/ijca2018916839,
author = { Manpreet Kaur, Sandeep Kaur Dhanda },
title = { A Survey on Load Balanced Energy Efficient Clustering Protocols for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 33 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number33/29261-2018916839/ },
doi = { 10.5120/ijca2018916839 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:35.158673+05:30
%A Manpreet Kaur
%A Sandeep Kaur Dhanda
%T A Survey on Load Balanced Energy Efficient Clustering Protocols for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 33
%P 36-41
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A Large number of tiny sensors are equipped in a network termed as Wireless Sensor Network which can be an effective tool for gathering of data from environment. Data which is collected through sensors are forwarded to the Base Station and from there to the end User. In WSN, energy efficiency is the primary factor that requires consideration. Considering this fact, clustering is introduced in WSN as it provides effective data aggregation as well as scalability for large WSNs. Moreover, clustering is also helpful in conserving limited energy resources of the sensors involved in network. In addition to this, this paper reviewed several clustering algorithms exists in WSNs. Furthermore, several challenges faced in clustering are also highlighted in this paper.

References
  1. Bajaber, F., Awan, I., “Adaptive decentralized re-clustering protocol for wireless sensor networks” Journal of Computer and System Sciences, Vol. 77, No. 2, Pp.282–292, 2011
  2. Bsoul, M., Al-Khasawneh, A., Abdallah, A. E., Abdallah, E. E., Obeidat, I.,“An energy-efficient threshold-based clustering protocol for wireless sensor networks” Wireless Pers Commun, Vol. 70, No. 1, Pp.99–112, 2013
  3. Bencan Gong, Layuan Li, Shaorong Wang, Xuejun Zhou, Multihop Routing Protocol with unequal Clustering for Wireless Sensor Networks International Colloquium on Computing, Communication, Control, and Management,(ISECS2008),Pp. 552-556, 2008
  4. C. Li, M. Ye, G. Chen, J. Wu, “An energy efficient unequal clustering mechanism for wireless sensor networks,” in: Proceedings of 2005 IEEE International
  5. Conference on Mobile Adhoc and Sensor Systems Conference(MASS05), Washington, D.C., Pp. 604-611, November 2005.
  6. Dias, D., Jeberson, W., and Jeberson, K.,“Energy Efficient LEACH Protocol with reduced Data Redundancy in WSN”, Estimation of Benefit-Cost Ratio under Composite Fish Farming in Village Ponds (Earthen) of Allahabad District,Vol. 71, No. 2, Pp. 1-4, 2016.
  7. Elhabyan, R.S. and Yagoub, M.C.E, “Particle swarm optimization protocol for clustering in wireless sensor networks: A realistic approach,” Proc. 15th IEEE Int. Conf. on Information Reuse and Integration (IRI), Redwood City, CA, Pp.345-350, 2014.
  8. Hong, J., Kook, J., Lee, S., Kwon, D., Yi, S.,“T-LEACH: The method of threshold-based CH replacement for wireless sensor networks” Information Systems Frontiers, Vol. 11, No. 5, Pp.513–521, 2009.
  9. Jin, Y., Wang, L., Kim, Y., Yang, X.,“EEMC: an energy-efficient multi-level clustering algorithm for large-scale wireless sensor networks”, Computer Networks, Vol. 52, Pp.542–562, 2008.
  10. Liu, M., Cao, J., Chen, G., and Wang, X.,“An energy-aware routing protocol in wireless sensor networks”, Sensors, Vol. 9, No. 1, Pp. 445-462, 2009.
  11. M. Ye, C. Li, G. Chen and J. Wu, “An Energy Efficient Clustering Scheme in Wireless Sensor Networks,” Ad Hoc & Sensor Wireless Networks,Vol.1, Pp.1–21,2006.
  12. Nayebi, A., and Sarbazi-Azad, H., “Performance modeling of the LEACH protocol for mobile wireless sensor networks”, Journal of parallel and distributed computing, Vol. 71, No. 6, Pp. 812-821, 2011.
  13. OlutayoBoyinbode, Hanh Le, Audrey Mbogho, Makoto Takizawa and Ravi Poliah, “A Survey on Clustering Algorithms for Wireless Sensor Networks”, 2010 13th International Conference On Network Based Information Systems, Pp. 358-364, November 2010.
  14. S.Yi, J. Heo, Y. Cho, and J. Hong, “PEACH: power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks”, Computer Communications, Vol. 30, Pp. 2842-2852,October 2007.
  15. Salim, A., Osamy and W., Khedr, A. M.,“IBLEACH: intra-balanced LEACH protocol for wireless sensor networks”, Wireless Networks, Vol. 20, Pp.1515–1525, 2014
  16. V. Loscri, G. Morabito and S. Marano, “A Two-Level Hierarchy for Low-Energy Adaptive Clustering Hierarchy”, Proceedings of Vehicular Technology Conference 2005, Vol.3, Pp. 1809-1813, 2005
  17. W. Heinzelman, A. Chandrakasan and H.Balakrishnan, “Energy- Efficient Communication Protocol for Wireless Micro sensor Networks”, Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS '00), Vol. 2, No. 10, January 2000.
  18. Xu, L., O'Hare, G.M.P., Collier, R., “A Balanced Energy-Efficient Multihop clustering scheme for Wireless Sensor Networks,” Proc. 7th IFIP on Wireless and Mobile Networking Conf. (WMNC),Vilamoura, Pp.1-8, 2014.
  19. Ye, M., Li, C., Chen G., Wu, J., “EECS: an energy efficient clustering scheme in wireless sensor networks,’ Proc. 24th Int. Conf. on Performance, Computing, and Communications, Pp.535 –540, 2005.
  20. Younis, O., Fahmy, S.,“HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks”, IEEE Transactions on Mobile computing,vol.3,No.4.Pp.366-379,2004
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks (WSNs) Clustering Algorithms Energy Efficiency