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Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks

T. Sujithra, R. Venkatesan. Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: T. Sujithra, R. Venkatesan
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  1. T Sujithra and R Venkatesan. Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks. International Journal of Applied Information Systems 11(2):1-7, July 2016. URL, DOI BibTeX

    	author = "T. Sujithra and R. Venkatesan",
    	title = "Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "July 2016",
    	volume = 11,
    	number = 2,
    	month = "Jul",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "1-7",
    	numpages = 7,
    	url = "",
    	doi = "10.5120/ijais2016451551",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


In this paper genetic algorithm based energy efficient data gathering approach is proposed to maximize the network lifetime in terms of rounds. The proposed approach has two phases, namely a setup phase and steady state phase. In the setup phase, the cluster formation is done based on the query sent by the base station in a dynamic fashion. The nodes, which satisfy the query are only allowed to participate in the clustering process others go to the sleep mode immediately. In which relay nodes are used as routing element, it collects the aggregated information from the cluster head and transmits to the base station via other relay node in a multi-hop fashion. It balances the network load among the relay nodes. It also reduces the packet loss because of data traffic. From the simulation results, we show that the proposed approach outperforms than the existing protocol in terms of increased network lifetime and decreased energy consumption.


  1. Jennifer Yick, Biswanath Mukherjee and Dipak Ghosal, “Wireless sensor Network Survey”, In. Comput.Netw.,Elsevier., Vol.52, 2008, p.2292-2330.
  2. Kewei Sha and Weisong Shi, ”Modeling the Lifetime of Wireless Sensor Networks “, In. Sensor Letters, American Scientific Publishers, Vol.3, 2005, p. 1-10.
  3. Beenu Baby and Joe Mathew Jacob, “A Survey on Sleep Schedule in Wireless Sensor Networks”, In. International Journal of Engineering Research and Technology, Vol. 2, Issue 3, March 2013.
  4. Heinzelman W.R, Chandrakasan A.P and Balakrishnan H, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, In. Proceeding of 33rd Hawaii International Conference on System Sciences, Vol. 8, 2000, p.8020-8030.
  5. Liu X., Cao J., Lai S., Yang C., Wu H., and Xu Y., “Energy efficient clustering for WSN based structural health monitoring,” In. Proc. IEEE INFOCOM, pp. 2768–2776, 2011.
  6. Zhang Z., Ma M., and Yang Y., “Energy efficient multi-hop polling in clusters of two-layered heterogeneous sensor networks,” In. IEEE Transactions on Computer, pp. 231–245, 2008.
  7. Alsbou T.A.A, Hammoudeh M., Bandar Z, and Nisbet A., “An overview and classification of approaches to information extraction in wireless sensor networks,” In. Proceedings of the 5th International Conference on Sensor Technologies and Applications (SENSORCOMM ’11), pp. 255, 2011.
  8. Sangho Yi, Junyoung Heo, Yookun Cho and Jiman Hong, ”PEACH : Power-Efficient and Adaptive Clustering Hierarchy protocol for Wireless Sensor Networks, In IEEE parallel and distributed processing symposium(IPDPS), Florida, USA,2007.
  9. Wendi B. Heinzelman, Anantha P. Chandrakasan and Hari BalaKrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks”. In. IEEE transactions on wireless communications, Vol. 1, No. 4, October 2002.
  10. Jau-Yang Chang and Pei-Hao Ju,” An efficient cluster-based power saving scheme for wireless sensor networks”, In. Springer transaction on Wireless Communications and Networking, 2012.
  11. Smaragdakis G, Ibrahim Matta and Azer Bestavros, “SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks”, In. International conference on sensor and act or network protocols and applications SANPA, Boston, USA, 2004 .
  12. Ye M, Li C, Chen G, Wu J and AlMYE, “EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks”, In. IEEE conference on performance computing, and communications (IPCCC), Phoenix Arizona, USA, 2005, p.535–40.
  13. Parul Bakaraniya and Sheetal Mehta, ”K-LEACH: An Improved LEACH Protocol for Lifetime Improvement in WSN”, In. International Journal of Engineering Trends and Technology, Vol.4, May 2013, p.1521-1526.
  14. Sasikumar P. and Sibaram Khara,”K-Means clustering in wireless sensor networks”, In. IEEE Computer Society: Fourth International Conference on Computational Intelligence and Communication Networks, 2012.
  15. Kreinovich V., Quintana C., and Fuentes O., “Genetic algorithms- what fitness scaling is optimal,” Cybernetics and Systems, Vol. 24, 1993, p. 9-26.


Multi-hop communication, Cluster centroid, Network lifetime, Cluster head, Relay node, Genetic algorithm.