Call for Paper - January 2022 Edition
IJCA solicits original research papers for the January 2022 Edition. Last date of manuscript submission is December 20, 2021. Read More

A Centralized Energy Balancing In Clustering Process for WSN

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
M. Ben Salah, A. Boulouz

Ben M Salah and A Boulouz. A Centralized Energy Balancing In Clustering Process for WSN. International Journal of Computer Applications 176(7):41-43, October 2017. BibTeX

	author = {M. Ben Salah and A. Boulouz},
	title = {A Centralized Energy Balancing In Clustering Process for WSN},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2017},
	volume = {176},
	number = {7},
	month = {Oct},
	year = {2017},
	issn = {0975-8887},
	pages = {41-43},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017915643},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Wireless sensor networks consist of small battery powered. Devices with limited energy resources optimization of energy consumption is one of the most important challenges in WSNs due to the limited energy capacity of the network nodes. Several studies have been done in order to design energy efficient routing mechanism to increase the network lifetime. Clustering is one of the best used methods. This work proposes a centralized routing protocol used a CH selection by considering the remaining energy of sensor node in CH selecting process. Simulation results show that the proposed scheme reduces the energy consumption and prolong the network life-time of network compared to the well-known clustering algorithms LEACH.


  1. Y. He, W. S. Yoon and J. H. Kim. “Multi-levelClustering Architecture for Wireless Sensor Networks”. Information Technology Journal, Vol. 5, No. 1, 2006, pp. 188-191
  2. C. Alippi, G . Anastasi, MD Francesco, Roveri M, ’’ An adaptive sampling algorithm for effective energy Management in wireless sensor networks with energy-hungry sensors’’, IEEE Trans Instrum Meas 2010;59(2):335–44.
  3. US Sutar, SK Bodhe, ‘’Energy efficient topology control algorithm for multi-hop ad-hoc wireless sensor network’’, In: Proc. 3rd IEEE international conference on computer science and information technology (ICCSIT), Chengdu, China; July 2010
  4. Hai-Ying Zhou, Dan-Yan Luo, Yan Gao, De-Cheng Zuo, ’’Modeling of Node Energy Consumption for Wireless Sensor Networks’’, Wireless Sensor Network, 2011,3, 18-23
  5. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient routing protocols for wireless microsensor networks,” in Proc.33rd Hawaii Int. Conf. System Sciences (HICSS), Maui, HI, Jan. 2000.
  6. Handy MJ, Haase M, Timmermann D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: Proc. 4th IEEE conference on mobile and wireless communication networks; 2002. p. 368–72.
  7. S. Ali Md, D. Tanay, B. Rahul, “ALEACH advanced LEACH routing protocol for wireless microsensor networks”, In: Proc. ICECE 2008, vols. 1 and 2; 2008. p. 909–14.
  8. A.Wang, D. Yang, D. Sun, “A clustering algorithm based on energy information and cluster heads expectation for wireless sensor networks“. Computers and Electrical Engineering 38 (2012) 662–671
  9. W.R.Heinzelman, A.P.Chandrakasan, H.Balakrishnan, “An application- specific protocol architecture for wireless microsensor networks”, IEEETransactions on Wireless Communications (4) (2002) 660-670.
  10. Rohit D. Gawade and S. L. Nalbalwar,” A Centralized Energy Efficient Distance Based Routing Protocol for Wireless Sensor Networks”, Journal of Sensors, 2016 (2016).
  11. Prabhudutta Mohanty, Manas Ranjan Kabat, ”Energy efficient structure-free data aggregation and delivery in WSN”. Egyptian Informatics Journal (2016) 17, 273–284


Wireless Sensor Networks (WSNs); Energy consumption; Life-time; Clustering; CH; LEACH