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Reseach Article

An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks

by Deepa V. Jose, G. Sadashivappa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 10
Year of Publication: 2016
Authors: Deepa V. Jose, G. Sadashivappa
10.5120/ijca2016908531

Deepa V. Jose, G. Sadashivappa . An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks. International Journal of Computer Applications. 135, 10 ( February 2016), 43-49. DOI=10.5120/ijca2016908531

@article{ 10.5120/ijca2016908531,
author = { Deepa V. Jose, G. Sadashivappa },
title = { An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 10 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number10/24089-2016908531/ },
doi = { 10.5120/ijca2016908531 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:35:28.507170+05:30
%A Deepa V. Jose
%A G. Sadashivappa
%T An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 10
%P 43-49
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Clustering is a significant mechanism used in Wireless Sensor Networks in order to have an efficient energy balance which is inevitable to prolong the lifetime. The concept of unequal clustering has proved to be an effective method for load balancing and thereby reducing hotspot issues in the energy constrained wireless sensor networks. This paper proposes an energy efficient clustering mechanism which can enhance the lifetime of Wireless Sensor Networks. The proposed protocol is an enhancement of the Hybrid Energy-Efficient Distributed clustering protocol where the clustering is performed using energy efficient varying sized clustering algorithm. An overview of the Hybrid Energy-Efficient Distributed clustering protocol, highlighting its advantages and drawbacks is also given in this paper. The performance of the proposed algorithm is evaluated through simulation using MATLAB based on the parameters delay in packet delivery, residual energy of the network and the number of live nodes during precise time periods. Extensive simulation results show that the proposed enhanced Hybrid Energy-Efficient Distributed clustering algorithm gives better performance compared to the energy efficient clustering protocols like Hybrid Energy-Efficient Distributed clustering protocol and Unequal Hybrid Energy-Efficient Distributed clustering protocol based on the above mentioned parameters.

References
  1. Pantazis, N. a, Nikolidakis, S. a & Vergados, D.D., 2013. Energy-efficient routing protocols in wireless sensor networks: A survey. Communications Surveys & Tutorials, IEEE, 15(2), pp.551–591.
  2. Wang, J. et al., 2013. An energy efficient stable election-based routing algorithm for wireless sensor networks. Sensors (Basel, Switzerland), 13(11), pp.14301–20. Available at http://www.ncbi.nlm.nih.gov/pubmed/24887039.
  3. Vyas, P. & Chouhan, M., 2014. Survey on Clustering Techniques in Wireless Sensor Network. , 5(5), pp.6614–6619.
  4. Selvi, G.V. & Manoharan, R., 2013. A Survey of Energy Efficient Unequal Clustering Algorithms for Wireless Sensor Networks. , 79(1), pp.1–4.
  5. Wankhade, P.N.R. & Choudhari, D.N., 2015. Energy Efficient Unequal Clustering Algorithm For Clustered Wireless. , 3(3), pp.195–198.
  6. Younis, O. & Fahmy, S., HEED : A Hybrid , Energy-Efficient , Distributed Clustering Approach for Ad-hoc Sensor Networks. , 0238294, pp.1–36.
  7. Lee, S. et al., 2008. An Energy-Efficient Distributed Unequal Clustering Protocol for Wireless Sensor Networks. , pp.443–447.
  8. Dhanpal, D.K., Joseph, A. & Panicker, A., 2015. An Energy Efficient Unequal Cluster Based Routing Protocol For WSN With Non-Uniform Node Distribution. , 4(05).
  9. Chen, C. et al., 2015. IDUC : An Improved Distributed Unequal Clustering Protocol for Wireless Sensor Networks. , 2015.
  10. Hassan, S. & Hamed, E., 2013. An Energy - Balancing Unequal Clustering Algorithm for Multi - hop Routing in WSN. , (January).
  11. Kumar, A. & Kumar, V., 2011. Energy Efficient Clustering and Cluster Head Rotation Scheme for Wireless Sensor Networks. , 3(5), pp.129–136.
  12. Aierken, N. et al.,2015. RUHEED- Rotated Unequal Clustering Algorithm For Wireless Sensor Networks.
  13. Chen, J. & Wang, N., 2010. Efficient Cluster Head Selection Methods for Wireless Sensor Networks. Sensors (Peterborough, NH), 5(8), pp.964–970.
  14. Mahajan, S., Malhotra, J. & Sharma, S., 2014. An energy balanced QoS based cluster head selection strategy for WSN. Egyptian Informatics Journal, 15(3), pp.189–199. Available at: http://www.sciencedirect.com/science/article/pii/S1110866514000322.
  15. Kumar, D., Aseri, T.C. & Patel, R.B., 2010. Distributed Cluster Head Election ( DCHE ) Scheme for Improving Lifetime of Heterogeneous Sensor Networks. , 13(3), pp.337–348.
  16. Wang, L., Li, Y. & Zhou, G., 2013. A Joint Weight Based Dynamic Clustering Algorithm for Wireless Sensor Networks *. , pp.325–335.
  17. A Alabass, K Elleithy, A.R., 2014. Dynamic Cluster Head Node Election (DCHNE) Model over Wireless Sensor Networks (WSNs). arXiv preprint arXiv:1410.5128. Available at: http://khaledelleithy.org/Conferences/CATA 2014 paper 64.pdf.
  18. Murat Dener, 2014. Optimum Packet Length Over Data Transmission for Wireless Sensor Networks , pp.2–4.
Index Terms

Computer Science
Information Sciences

Keywords

Energy Efficiency HEED Unequal Clustering