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A Cluster based Routing Technique to Enhance the Lifetime of Wireless Sensor Networks

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Deepa V. Jose

Deepa V Jose. A Cluster based Routing Technique to Enhance the Lifetime of Wireless Sensor Networks. International Journal of Computer Applications 167(3):35-39, June 2017. BibTeX

	author = {Deepa V. Jose},
	title = {A Cluster based Routing Technique to Enhance the Lifetime of Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {3},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {35-39},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017914225},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The latest century experiences extensive amenities aided by Wireless Sensor Networks applications that make our lives more comfortable and secure. The small size and low cost of the sensor nodes added to its ease of deployment where human intervention is quite risky or even impossible. Wireless Sensor Networks are used in a wide variety of applications where continuous sensing of data is required hence retaining the energy of the network is very important to prolong the network lifetime. But its major drawback is the resource constraint nature; as the batteries which are the power sources, have very low capacity, it is important to ensure efficient energy consumption so as to enhance the lifetime of the entire network. Adopting clustering methods reduces energy consumption of individual nodes and can maximize the network life time. This paper proposes a clustering algorithm by incorporating unequal clustering technique in Hybrid Energy Efficient Clustering which reduces the hotspots and improves the lifetime of the Wireless Sensor Network.


  1. N. a Pantazis and D. D. Vergados, “A survey on power control issues in wireless sensor networks,” IEEE Commun. Surv. Tutorials, vol. 9, no. 4, pp. 376–380, 2010.
  2. G. V. Selvi and R. Manoharan, “A Survey of Energy Efficient Unequal Clustering Algorithms for WSNs,” vol. 79, no. 1, pp. 1–4, 2013.
  3. D. V Jose, “An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks,” vol. 135, no. 10, pp. 43–49, 2016.
  4. A. Kazerooni, H. Jelodar, and J. Aramideh, “Leach and Heed Clustering Algorithms in Wireless Sensor Networks: a Qualitative Study,” Adv. Sci. Technol. Res. J., vol. 9, no. 25, pp. 7–11, 2015.
  5. W. B. Heinzelman, a. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wirel. Commun., vol. 1, no. 4, pp. 660–670, 2002.
  6. O. Younis and S. Fahmy, “HEED : A Hybrid , Energy-Efficient , Distributed Clustering Approach for Ad-hoc Sensor Networks,” vol. 238294, pp. 1–36.
  7. P. Vyas and M. Chouhan, “Survey on Clustering Techniques in Wireless Sensor Network,” vol. 5, no. 5, pp. 6614–6619, 2014.
  8. V. Kumar, S. Jain, S. Tiwari, and I. Member, “Energy Efficient Clustering Algorithms in Wireless Sensor Networks : A Survey,” vol. 8, no. 5, pp. 259–268, 2011.
  9. X. Liu, "A Survey on Clustering Routing Protocols in Wireless Sensor Networks",Sensors, 2012.
  10. Z. Ullah, L. Mostarda, R. Gagliardi, D. Cacciagrano, and F. Corradini, “A comparison of HEED based clustering algorithms - introducing ER-HEED,” 2016.
  11. A. K. Jain, V. Chargotra, M. Student, and M. Mark, “Reliable Sta ate-full Hybrid Energy E fficient Distributed clust tering protocol for Wire less Sensor Networks : RS-HEED,” pp. 396–401, 2015.
  12. N. Aierken, R. Gagliardi, L. Mostarda, and Z. Ullah, “RUHEED- Rotated Unequal Clustering Algorithm For Wireless Sensor Networks.”
  13. R. Luchmun, L. Mostarda, A. Navarra, and P. Shah, “UHEED - AN UNEQUAL CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS,” 2010.
  14. D. K. Dhanpal, A. Joseph, and A. Panicker, “An Energy Efficient Unequal Cluster Based Routing Protocol For WSN With Non-Uniform Node Distribution,” vol. 4, no. 5, 2015.


Energy efficiency, Sensor nodes, Lifetime, Wireless sensor networks, Energy consumption, Sink nodes, Base station, HEED, Applications of WSNs, Classification of clustering algorithms