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Enhanced Density Grid-based Clustering by using LZW and ABC for Efficient Routing in WSN

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Rimpy Sharma, Shivani Shamra
10.5120/ijca2017913743

Rimpy Sharma and Shivani Shamra. Enhanced Density Grid-based Clustering by using LZW and ABC for Efficient Routing in WSN. International Journal of Computer Applications 164(10):32-35, April 2017. BibTeX

@article{10.5120/ijca2017913743,
	author = {Rimpy Sharma and Shivani Shamra},
	title = {Enhanced Density Grid-based Clustering by using LZW and ABC for Efficient Routing in WSN},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2017},
	volume = {164},
	number = {10},
	month = {Apr},
	year = {2017},
	issn = {0975-8887},
	pages = {32-35},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume164/number10/27522-2017913743},
	doi = {10.5120/ijca2017913743},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Any Wireless Sensor Network (WSN) includes extensive number of smaller sensor hubs having obliged computation potential, negligible memory, confined electric power, and limited combination imparting gadget. In this paper the the comparison will be drawn between the density grid-based algorithm and enhanced density grid-based algorithm. After using two approaches on the density grid-based algorithm (I) LZW(lempel-ziv-welch)comparison technique and (II) ABC optimization technique for efficient routing for the wireless sensor network. The improved result are shown by using some parameters.

References

  1. Kumar Dilip "Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks." Wireless Sensor Systems, IET 4, No. 1, pp. 9-16, 2014.
  2. Han, Zhao, Jie Wu, Jie Zhang, Liefeng Liu, and Kaiyun Tian. "A General Self-Organized Tree-Based Energy-Balance Routing Protocol for Wireless Sensor Network." pp. 1-2, 2014.
  3. Mantri, Dnyaneshwar, Neeli R. Prasad, and Ramjee Prasad. "Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network." in 3rd IEEE International Advance Computing Conference (IACC), pp. 132-137, 2013.
  4. Manzoor, Basit, et al. "Q-LEACH: A New Routing Protocol for WSNs." Procedia Computer Science 19 (2013): 926-931.
  5. Qureshi, T. N., Nadeem Javaid, A. H. Khan, Adeel Iqbal, E. Akhtar, and M. Ishfaq. "BEENISH: Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol for Wireless Sensor Networks." Procedia Computer Science 19 (2013): 920-925.
  6. Mathapati, Basavaraj S., Siddarama Patil, and V. D. Mytri. "A cluster based Energy Efficient Reliable Routing Protocol for Wireless Sensor Networks." in 2012 1st IEEE International Conference on Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), pp. 1-6, 2012.
  7. Ji, Peng, Yupeng Li, Jingqi Jiang, and Tianbao Wang. "A Clustering Protocol for Data Aggregation in Wireless Sensor Network." In Proceedings of the IEEE International Conference on Control Engineering and Communication Technology, pp. 649-652, 2012.
  8. Nawaz, Faiza, and Shafat Ahmed Bazaz. "Lifetime optimization of Wireless Sensor Network through energy efficient clustering for robust data routing." in 2nd IEEE International Conference on Computer Technology and Development (ICCTD), pp. 235-239, 2010.
  9. Li, Nan, Shangru Li, and Xiaozhou Fang. "Adaptive data aggregation mechanism based on leach protocol." in International Conference on Advanced Intelligence and Awareness Internet (AIAI 2010), pp. 131-134, 2010.
  10. Kumar, Dilip, Trilok C. Aseri, and R. B. Patel. "EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks." Computer Communications 32.4 (2009): 662-667
  11. Liang, Weifa, and Yuzhen Liu. "Online data gathering for maximizing network lifetime in sensor networks." Mobile Computing, IEEE Transactions on 6.1 (2007): 2-11.
  12. Younis, Ossama, Marwan Krunz, and Srinivasan Ramasubramanian. "Node clustering in wireless sensor networks: recent developments and deployment challenges." Network, IEEE, No. 3 pp. 20-25, 2006.
  13. Younis, Ossama, and Sonia Fahmy. "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.
  14. Tan, Hüseyin Özgür, and Ibrahim Körpeoǧlu. "Power efficient data gathering and aggregation in wireless sensor networks." ACM Sigmod Record 32.4 (2003): 66-71.
  15. Lindsey, Stephanie, and Cauligi S. Raghavendra. "PEGASIS: Power-efficient gathering in sensor information systems." Aerospace conference proceedings, 2002. IEEE. Vol. 3. IEEE, 2002.
  16. Abdullah, Manal, Hend Nour Eldin, Tahani AlMoshadak, Rawan Alshaik, and Inas Al-Anesi. "Density Grid-based Clustering for Wireless Sensors Networks" , Procedia Computer Science, 2015

Keywords

WSN; clustering; compressive technique; optimization technique

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